system

Abstract

The system according to this embodiment aims to efficiently install communication infrastructure on the lunar surface and ensure communication with Earth. [Solution] The system according to the embodiment comprises a transmitting unit, a selection unit, an installation unit, and a communication unit. The transmitting unit sends an AI-equipped robot to the lunar surface. The selection unit allows the robot sent by the transmitting unit to autonomously select the optimal location. The installation unit installs a communication station at the location selected by the selection unit. The communication unit uses the communication station installed by the installation unit to communicate between the Moon and Earth.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional technology, it is difficult to install and operate a communication infrastructure on the lunar surface, and there are problems in securing an efficient communication means.

[0005] A system according to an embodiment aims to efficiently install a communication infrastructure on the lunar surface and secure communication with the Earth.

Means for Solving the Problems

[0006] The system according to this embodiment comprises a transmitting unit, a selection unit, an installation unit, and a communication unit. The transmitting unit sends an AI-equipped robot to the lunar surface. The selection unit allows the robot sent by the transmitting unit to autonomously select the optimal location. The installation unit installs a communication station at the location selected by the selection unit. The communication unit uses the communication station installed by the installation unit to communicate between the Moon and Earth. [Effects of the Invention]

[0007] The system according to this embodiment can efficiently install communication infrastructure on the lunar surface and ensure communication with Earth. [Brief explanation of the drawing]

[0008] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Modes for carrying out the invention]

[0009] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0010] First, let's explain the terminology used in the following explanation.

[0011] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), or TPU (Tensor Processing Unit).

[0012] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0013] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0014] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor, an antenna, etc. The communication I / F manages communication between multiple computers. Examples of communication standards applicable to the communication I / F include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B". That is, "A and / or B" means that it may be only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

[0016] [First Embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] As shown in FIG. 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. Also, the database 24 and the communication I / F 26 are connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 comprises a computer 36, a receiving device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The receiving device 38, output device 40, and camera 42 are also connected to the bus 52.

[0020] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, and accepts user input. The touch panel 38A accepts user input via touch by detecting contact with an object (e.g., a pen or finger). The microphone 38B accepts user input via voice by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 (see Figure 2) acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user by outputting the data in a form perceptible to the user (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0023] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0025] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0026] In the smart device 14, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart device 14 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0027] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device having the data generation model 58. The data processing device 12 may also be a server device or a terminal device owned by a user (e.g., a mobile phone, robot, home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example of form 1) The system according to an embodiment of the present invention is a mechanism that uses AI to autonomously construct a communication station on the lunar surface without human intervention and provides high-speed, high-capacity communication services between the Moon and Earth. This system consists of the following steps. First, an AI-equipped robot is sent to the lunar surface. Next, the robot autonomously selects the optimal location and installs the communication station. Furthermore, communication between the Moon and Earth is conducted using a communication satellite. This mechanism reduces human risk and allows for the construction of a lunar communication infrastructure at low cost. For example, an AI-equipped robot is sent to the lunar surface. This robot can operate autonomously. For example, the robot can analyze the lunar terrain and select the optimal location. Next, the robot autonomously selects the optimal location and installs the communication station. The robot analyzes the lunar terrain and environment and selects the optimal location for installing the communication station. For example, the robot can select a flat area on the lunar surface and install the communication station. Furthermore, communication between the Moon and Earth is conducted using a communication satellite. The communication satellite can perform high-speed, high-capacity communication. For example, the communication satellite can connect the lunar communication station and the Earth communication station to perform high-speed, high-capacity data communication. This mechanism reduces human risk and enables the construction of a lunar communication infrastructure at a low cost. For example, manned lunar development involves significant costs and risks, but these problems can be solved by autonomously establishing communication stations without human intervention. Furthermore, the establishment of a communication infrastructure will improve the efficiency of lunar exploration and space development, leading to further advancements. In short, the system enables the construction of a lunar communication infrastructure at a low cost while reducing human risk.

[0029] The system according to this embodiment comprises a transmitter, a selection unit, an installation unit, and a communication unit. The transmitter sends an AI-equipped robot to the lunar surface. The transmitter can, for example, send the robot to the lunar surface using a rocket. The transmitter can also track the robot's position in real time and assist in accurate landing. For example, the transmitter can track the robot's position using GPS technology and adjust the landing site. Furthermore, the transmitter can monitor the robot's status and perform an emergency stop if an abnormality occurs. For example, the transmitter can analyze data from the robot's sensors and perform an emergency stop if an abnormality is detected. The selection unit allows the robot to autonomously select the optimal location. For example, the selection unit can analyze lunar surface topography data and select a flat location. The selection unit can also select an optimal location considering the line of sight for communication. For example, the selection unit selects a location with a good line of sight for communication based on lunar surface topography data. Furthermore, the selection unit can analyze lunar surface environmental data and select a safe location. For example, the selection unit analyzes temperature and radiation data from the lunar surface to select a safe location. The installation unit installs the communication station at the location selected by the selection unit. The installation unit can, for example, use robots to transport parts for assembling the communication station and assemble it on-site. The installation unit can also fine-tune the installation position of the communication station to the optimal location. For example, the installation unit can use a robot arm to fine-tune the position of the communication station. Furthermore, the installation unit can perform operational checks after the communication station is installed to ensure that it is functioning correctly. For example, the installation unit can check the operation of each component of the communication station to ensure there are no abnormalities. The communication unit uses the communication station installed by the installation unit to communicate between the Moon and Earth. The communication unit can, for example, use a communication satellite to connect the lunar communication station with the Earth communication station to perform high-speed, high-capacity data communication. The communication unit can also adjust communication parameters in real time to ensure communication stability. For example, the communication unit monitors communication delays and error rates and adjusts communication parameters as needed. Furthermore, the communication unit can encrypt communication data to ensure communication security. For example, the communications department encrypts communication data to prevent unauthorized access.This system will enable AI-equipped robots to autonomously establish communication stations on the lunar surface, achieving high-speed, high-capacity communication between the Moon and Earth.

[0030] The transmitter unit will send AI-equipped robots to the lunar surface. For example, the transmitter unit can use a rocket to send the robots to the lunar surface. Specifically, it manages the entire process from rocket launch to lunar landing, ensuring the robots reach the lunar surface safely. The rocket is equipped with shields to protect the robots and shock absorbers to absorb the impact of the lunar landing. The transmitter unit can also track the robots' position in real time to assist with precise landings. For example, it can use GPS technology to track the robots' position and adjust the landing site. Because of the distance from Earth, GPS signals are received using special high-sensitivity receivers. Furthermore, the transmitter unit can monitor the robots' status and initiate an emergency stop if an anomaly occurs. For example, it can analyze data from the robots' sensors and initiate an emergency stop if an anomaly is detected. The sensors collect data such as temperature, pressure, and vibration in real time, and immediately notify the Earth control center if an anomaly is detected. Thus, the transmitter unit plays a crucial role in ensuring the safe operation of the robots and the success of the lunar mission.

[0031] The selection unit allows the robot to autonomously select the optimal location. For example, the selection unit can analyze lunar surface topography data and select a flat area. Specifically, it uses cameras and laser rangefinders mounted on the robot to collect detailed lunar surface topography data, which is then analyzed by AI. The AI ​​uses image recognition technology to detect obstacles such as rocks and craters, and identifies flat and safe locations. The selection unit can also select the optimal location considering the line of sight for communication. For example, based on lunar surface topography data, the selection unit selects a location with a good line of sight for communication. To ensure a clear line of sight, locations without tall obstacles in the surrounding area and with a short straight-line distance to Earth are selected. Furthermore, the selection unit can analyze lunar surface environmental data and select a safe location. For example, the selection unit analyzes lunar surface temperature and radiation data to select a safe location. Using temperature and radiation sensors, it identifies locations without extreme temperature changes or high radiation levels. This allows the selection unit to autonomously select a location where the robot can safely and efficiently install a communication station.

[0032] The installation unit installs the communication station at the location selected by the selection unit. The installation unit can, for example, transport parts for assembling the communication station using a robot and assemble it on-site. Specifically, the robot is equipped with parts such as the communication station's antenna, power supply, and communication equipment, and has arms and tools for assembling these on-site. Upon arriving at the selected location, the robot first levels the ground and installs the foundation of the communication station. Next, it uses its arms to assemble the antenna and communication equipment and connect the power supply. The installation unit can also fine-tune the installation position of the communication station to the optimal location. For example, the installation unit can use the robot's arms to fine-tune the position of the communication station. It can adjust the angle and height of the communication station's antenna to ensure optimal communication conditions. Furthermore, the installation unit can perform operational checks after the communication station is installed to confirm that it is functioning correctly. For example, the installation unit checks the operation of each component of the communication station to confirm that there are no abnormalities. It can transmit test signals for the communication equipment to confirm that communication with Earth can be performed normally. This ensures that the installation unit reliably sets up and verifies the operation of the communications station, playing a crucial role in securing communications on the lunar surface.

[0033] The Communications Department uses communication stations installed by the Installation Department to conduct communications between the Moon and Earth. For example, the Communications Department can connect a lunar communication station to an Earth communication station using a communications satellite, enabling high-speed, high-capacity data communication. Specifically, the communications satellite receives signals from the lunar communication station and relays them to the Earth communication station. The satellite orbits between the Earth and the Moon, always maintaining an optimal position for communication. Furthermore, the Communications Department can adjust communication parameters in real time to ensure communication stability. For example, it monitors communication delays and error rates and adjusts communication parameters as needed. If a communication delay occurs, it adjusts the communication speed or adds error correction codes to maintain communication quality. In addition, the Communications Department can encrypt communication data to ensure communication security. For example, it encrypts communication data to prevent unauthorized access. It uses encryption algorithms to encrypt communication data, making decryption difficult. In this way, the Communications Department plays a crucial role in realizing high-speed, high-capacity communication between the Moon and Earth, and ensuring communication stability and security.

[0034] The selection unit can analyze the lunar surface topography and select the optimal location. For example, the selection unit can analyze lunar surface topography data and select a flat location. The selection unit can also select the optimal location considering the line of sight for communication. For example, the selection unit can select a location with a good line of sight for communication based on lunar surface topography data. Furthermore, the selection unit can analyze lunar surface environmental data and select a safe location. For example, the selection unit can analyze lunar surface temperature data and radiation data and select a safe location. In this way, by analyzing the lunar surface topography, the optimal location for establishing a communication station can be selected. Some or all of the above processing in the selection unit may be performed using AI, for example, or without AI. For example, the selection unit can input lunar surface topography data into a generating AI and have the generating AI perform the selection of the optimal location.

[0035] The installation unit can install a communication station. The installation unit can, for example, transport parts for a robot to assemble the communication station and assemble it on-site. The installation unit can also fine-tune the installation position of the communication station and install it in the optimal location. For example, the installation unit can use a robot arm to fine-tune the position of the communication station. Furthermore, the installation unit can perform operational checks after the installation of the communication station to confirm that it is functioning correctly. For example, the installation unit can check the operation of each component of the communication station and confirm that there are no abnormalities. This makes communication between the Moon and Earth possible by installing the communication station. Some or all of the above processes in the installation unit may be performed using AI, for example, or without AI. For example, the installation unit can have a generating AI perform the fine-tuning of the installation position of the communication station.

[0036] The communications unit can perform high-speed, high-capacity communication between the Moon and Earth using communications satellites. For example, the communications unit can connect a communications station on the lunar surface with a communications station on Earth using communications satellites to perform high-speed, high-capacity data communication. The communications unit can also adjust communications parameters in real time to ensure the stability of communications. For example, the communications unit monitors communications delays and error rates and adjusts communications parameters as needed. Furthermore, the communications unit can encrypt communications data to ensure the security of communications. For example, the communications unit encrypts communications data to prevent unauthorized access. This makes high-speed, high-capacity communication possible by using communications satellites. Some or all of the above-described processes in the communications unit may be performed using AI, for example, or without AI. For example, the communications unit can have a generating AI perform the adjustment of communications parameters.

[0037] The transmitter can send a robot to the lunar surface. For example, the transmitter can send the robot to the lunar surface using a rocket. The transmitter can also track the robot's position in real time and assist in precise landing. For example, the transmitter can track the robot's position using GPS technology and adjust the landing site. Furthermore, the transmitter can monitor the robot's status and perform an emergency stop if an anomaly occurs. For example, the transmitter can analyze data from the robot's sensors and perform an emergency stop if an anomaly is detected. This allows for the autonomous establishment of a communication station by sending the robot to the lunar surface. Some or all of the above processing in the transmitter may be performed using AI, for example, or without AI. For example, the transmitter can have a generative AI perform robot position tracking.

[0038] The transmission unit can analyze the robot's past transmission history and select the optimal transmission method. For example, the transmission unit can select a transmission method with a high success rate from past transmission history. It can also select a transmission method with fewer failures based on past transmission history. Furthermore, the transmission unit can analyze past transmission history and select the most efficient transmission method. In this way, the optimal transmission method can be selected by analyzing past transmission history. Some or all of the above processing in the transmission unit may be performed using AI, for example, or without AI. For example, the transmission unit can input past transmission history data into a generating AI and have the generating AI perform the selection of the optimal transmission method.

[0039] The transmitting unit can adjust transmission parameters based on the current environmental conditions on the lunar surface when transmitting data from the robot. For example, the transmitting unit can adjust transmission parameters considering the weather conditions on the lunar surface. It can also adjust transmission parameters based on lunar surface topography data. Furthermore, the transmitting unit can adjust transmission parameters considering the radiation levels on the lunar surface. This allows for optimal transmission by adjusting transmission parameters based on the environmental conditions on the lunar surface. Some or all of the above processing in the transmitting unit may be performed using AI, for example, or without AI. For example, the transmitting unit can input lunar surface environmental data into a generating AI and have the generating AI perform the adjustment of transmission parameters.

[0040] The transmitting unit can select the optimal transmission route when transmitting data from a robot, taking into account the Earth's geographical location information. For example, the transmitting unit can select the optimal transmission route based on the Earth's geographical location information. The transmitting unit can also optimize the transmission route by taking the Earth's geographical location information into account. Furthermore, the transmitting unit can adjust the transmission route based on the Earth's geographical location information. This allows for the selection of the optimal transmission route by considering the Earth's geographical location information. Some or all of the above-described processes in the transmitting unit may be performed using AI, for example, or without AI. For example, the transmitting unit can input the Earth's geographical location information into a generating AI and have the generating AI perform the selection of the optimal transmission route.

[0041] The transmitting unit can analyze global social media activity and determine the appropriate transmission timing when transmitting data from the robot. For example, the transmitting unit can analyze global social media activity and determine the optimal transmission timing. The transmitting unit can also adjust the transmission timing based on global social media activity. Furthermore, the transmitting unit can optimize the transmission timing by taking global social media activity into consideration. This allows the optimal transmission timing to be determined by analyzing global social media activity. Some or all of the above processing in the transmitting unit may be performed using AI, for example, or without AI. For example, the transmitting unit can input global social media data into a generating AI and have the generating AI determine the transmission timing.

[0042] The selection unit can analyze lunar terrain data in real time and dynamically select the optimal location. For example, the selection unit can analyze lunar terrain data in real time and select a flat location. The selection unit can also select a location suitable for communication based on lunar terrain data. Furthermore, the selection unit can analyze lunar terrain data in real time and select a safe location. In this way, the optimal location can be dynamically selected by analyzing lunar terrain data in real time. Some or all of the above processing in the selection unit may be performed using AI, for example, or without AI. For example, the selection unit can input lunar terrain data into a generating AI and have the generating AI perform the dynamic selection of the optimal location.

[0043] The selection unit can integrate lunar surface environmental data and select the optimal location by considering multiple factors. For example, the selection unit can integrate lunar surface environmental data and select a location suitable for communication. The selection unit can also select the optimal location based on lunar surface environmental data. Furthermore, the selection unit can integrate lunar surface environmental data and select a safe location. In this way, by integrating lunar surface environmental data, the optimal location can be selected by considering multiple factors. Some or all of the above processing in the selection unit may be performed using AI, for example, or without AI. For example, the selection unit can input lunar surface environmental data into a generating AI and have the generating AI perform the selection of the optimal location.

[0044] The selection unit can select the optimal location by considering the geographical distribution of the lunar surface. For example, the selection unit can select a location suitable for communication based on the geographical distribution of the lunar surface. The selection unit can also select the optimal location by considering the geographical distribution of the lunar surface. Furthermore, the selection unit can also select a safe location based on the geographical distribution of the lunar surface. In this way, the optimal location can be selected by considering the geographical distribution of the lunar surface. Some or all of the above processing in the selection unit may be performed using AI, for example, or without using AI. For example, the selection unit can input geographical distribution data of the lunar surface into a generating AI and have the generating AI perform the selection of the optimal location.

[0045] The selection unit can improve the accuracy of its selection by referring to relevant literature on the lunar surface. For example, the selection unit can improve the accuracy of its selection by referring to relevant literature on the lunar surface. Furthermore, the selection unit can select the optimal location based on relevant literature on the lunar surface. In addition, the selection unit can improve the accuracy of its selection by referring to relevant literature. This improves the accuracy of the selection by referring to relevant literature. Some or all of the above processing in the selection unit may be performed using AI, for example, or without AI. For example, the selection unit can input relevant literature data on the lunar surface into a generating AI and have the generating AI perform the task of improving the accuracy of the selection.

[0046] The installation unit can improve the accuracy of installation by referring to lunar terrain data when installing a communication station. For example, the installation unit can improve the accuracy of installation by referring to lunar terrain data. The installation unit can also select the optimal installation location based on lunar terrain data. Furthermore, the installation unit can improve the accuracy of installation by referring to lunar terrain data. In this way, the accuracy of installation is improved by referring to lunar terrain data. Some or all of the above processing in the installation unit may be performed using AI, for example, or without using AI. For example, the installation unit can input lunar terrain data into a generating AI and have the generating AI perform the improvement of installation accuracy.

[0047] The installation unit can optimize the installation procedure when installing a communications station by taking into account lunar environmental data. For example, the installation unit can optimize the installation procedure by taking into account lunar environmental data. The installation unit can also adjust the installation procedure based on lunar environmental data. Furthermore, the installation unit can optimize the installation procedure by taking into account lunar environmental data. In this way, the installation procedure can be optimized by taking into account lunar environmental data. Some or all of the above processing in the installation unit may be performed using AI, for example, or without using AI. For example, the installation unit can input lunar environmental data into a generating AI and have the generating AI perform the optimization of the installation procedure.

[0048] The installation unit can select the optimal installation location for the communication station by considering the geographical distribution of the lunar surface. For example, the installation unit can select the optimal installation location based on the geographical distribution of the lunar surface. The installation unit can also select an installation location by considering the geographical distribution of the lunar surface. Furthermore, the installation unit can also select a safe installation location based on the geographical distribution of the lunar surface. In this way, the optimal installation location can be selected by considering the geographical distribution of the lunar surface. Some or all of the above processing in the installation unit may be performed using AI, for example, or without using AI. For example, the installation unit can input geographical distribution data of the lunar surface into a generating AI and have the generating AI perform the selection of the optimal installation location.

[0049] The installation unit can improve the accuracy of installation by referring to relevant documents when installing a communication station. For example, the installation unit can improve the accuracy of installation by referring to relevant documents. The installation unit can also select the optimal installation method based on the relevant documents. Furthermore, the installation unit can improve the accuracy of installation by referring to relevant documents. In this way, the accuracy of installation is improved by referring to relevant documents. Some or all of the above processing in the installation unit may be performed using AI, for example, or without using AI. For example, the installation unit can input relevant document data into a generating AI and have the generating AI perform the improvement of installation accuracy.

[0050] The communications unit can analyze communication data between the lunar surface and Earth in real time during communication and optimize the efficiency of communication. For example, the communications unit can analyze communication data between the lunar surface and Earth in real time and optimize the efficiency of communication. The communications unit can also improve the efficiency of communication based on the communication data between the lunar surface and Earth. Furthermore, the communications unit can analyze communication data between the lunar surface and Earth in real time and improve the efficiency of communication. In this way, the efficiency of communication can be optimized by analyzing communication data in real time. Some or all of the above processing in the communications unit may be performed using AI, for example, or without using AI. For example, the communications unit can input communication data into a generating AI and have the generating AI perform the optimization of communication efficiency.

[0051] The communications unit can adjust the communication parameters during communication, taking into account lunar surface environmental data. For example, the communications unit adjusts the communication parameters by considering lunar surface environmental data. The communications unit can also optimize the communication parameters based on lunar surface environmental data. Furthermore, the communications unit can adjust the communication parameters by considering lunar surface environmental data. This allows for the optimization of communication parameters by considering lunar surface environmental data. Some or all of the above processing in the communications unit may be performed using AI, for example, or without AI. For example, the communications unit can input lunar surface environmental data into a generating AI and have the generating AI perform the adjustment of communication parameters.

[0052] The communications unit can select the optimal communication route during communication, taking into account the geographical distribution of the lunar surface. For example, the communications unit selects the optimal communication route based on the geographical distribution of the lunar surface. The communications unit can also optimize the communication route by taking into account the geographical distribution of the lunar surface. Furthermore, the communications unit can adjust the communication route based on the geographical distribution of the lunar surface. In this way, the optimal communication route can be selected by taking into account the geographical distribution of the lunar surface. Some or all of the above processing in the communications unit may be performed using AI, for example, or without using AI. For example, the communications unit can input geographical distribution data of the lunar surface into a generating AI and have the generating AI perform the selection of the optimal communication route.

[0053] The communication unit can improve the accuracy of communication by referring to relevant documents during communication. For example, the communication unit can improve the accuracy of communication by referring to relevant documents. The communication unit can also select the optimal communication method based on the relevant documents. Furthermore, the communication unit can improve the accuracy of communication by referring to relevant documents. In this way, the accuracy of communication is improved by referring to relevant documents. Some or all of the above processing in the communication unit may be performed using AI, for example, or without using AI. For example, the communication unit can input relevant document data into a generating AI and have the generating AI perform the improvement of communication accuracy.

[0054] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0055] The transmitter can analyze lunar terrain data in real time when transmitting data from the robot and select the optimal landing site. For example, the transmitter can analyze lunar terrain data in real time and select a flat area. The transmitter can also select the optimal location to ensure landing safety based on the lunar terrain data. Furthermore, the transmitter can analyze lunar terrain data in real time and fine-tune the landing site. In this way, the optimal landing site can be selected by analyzing lunar terrain data in real time. Some or all of the above processing in the transmitter may be performed using AI, for example, or without AI. For example, the transmitter can input lunar terrain data into a generating AI and have the generating AI select the optimal landing site.

[0056] The selection unit can select the optimal location not only by analyzing lunar topographic data but also by considering lunar weather data. For example, the selection unit can analyze lunar weather data and select a location with minimal fluctuations in wind speed and temperature. Furthermore, based on lunar weather data, the selection unit can select the optimal location to ensure communication stability. In addition, the selection unit can analyze lunar weather data and select a safe location considering long-term weather variations. This allows for the selection of the optimal location for establishing a communication station by considering lunar weather data. Some or all of the above-described processes in the selection unit may be performed using AI, for example, or without AI. For example, the selection unit can input lunar weather data into a generating AI and have the generating AI perform the selection of the optimal location.

[0057] The installation unit can ensure the stability of the installation of the communication station by taking into account lunar geological data. For example, the installation unit can analyze lunar geological data and select a location with stable ground. The installation unit can also fine-tune the installation location of the communication station based on lunar geological data. Furthermore, the installation unit can optimize the installation procedure by taking lunar geological data into consideration. In this way, the stability of the communication station installation can be ensured by taking lunar geological data into consideration. Some or all of the above processing in the installation unit may be performed using AI, for example, or without using AI. For example, the installation unit can input lunar geological data into a generating AI and have the generating AI perform adjustments to ensure the stability of the installation.

[0058] The communications unit can adjust communication parameters during communication, taking into account lunar magnetic field data. For example, the communications unit can analyze lunar magnetic field data and set optimal parameters to ensure communication stability. The communications unit can also make adjustments to reduce the communication error rate based on lunar magnetic field data. Furthermore, the communications unit can optimize communication efficiency by taking lunar magnetic field data into consideration. In this way, communication parameters can be optimized by considering lunar magnetic field data. Some or all of the above processing in the communications unit may be performed using AI, for example, or without AI. For example, the communications unit can input lunar magnetic field data into a generating AI and have the generating AI perform the adjustment of communication parameters.

[0059] The transmitting unit can adjust the transmission timing by taking into account Earth's weather data when transmitting data from the robot. For example, the transmitting unit can analyze Earth's weather data and delay transmission during bad weather. The transmitting unit can also select the optimal transmission timing based on Earth's weather data. Furthermore, the transmitting unit can make adjustments to ensure the safety of transmission by taking Earth's weather data into consideration. This allows for the selection of the optimal transmission timing by considering Earth's weather data. Some or all of the above processing in the transmitting unit may be performed using AI, for example, or without AI. For example, the transmitting unit can input Earth's weather data into a generating AI and have the generating AI perform the adjustment of the transmission timing.

[0060] The communications unit can select the optimal communication route during communication, taking into account the geographical distribution of the lunar surface. For example, the communications unit selects the optimal communication route based on the geographical distribution of the lunar surface. The communications unit can also optimize the communication route by taking into account the geographical distribution of the lunar surface. Furthermore, the communications unit can adjust the communication route based on the geographical distribution of the lunar surface. In this way, the optimal communication route can be selected by taking into account the geographical distribution of the lunar surface. Some or all of the above processing in the communications unit may be performed using AI, for example, or without using AI. For example, the communications unit can input geographical distribution data of the lunar surface into a generating AI and have the generating AI perform the selection of the optimal communication route.

[0061] The following briefly describes the processing flow for example form 1.

[0062] Step 1: The transmitter sends the AI-equipped robot to the lunar surface. The transmitter can, for example, send the robot to the lunar surface using a rocket. The transmitter can also track the robot's position in real time and assist in precise landing. For example, the transmitter can track the robot's position using GPS technology and adjust the landing site. Furthermore, the transmitter can monitor the robot's status and perform an emergency stop if an anomaly occurs. For example, the transmitter can analyze data from the robot's sensors and perform an emergency stop if an anomaly is detected. Step 2: The selection unit autonomously selects the optimal location for the robot. For example, the selection unit can analyze lunar terrain data to select a flat location. It can also select an optimal location considering the line of sight for communication. For example, it can select a location with a good line of sight for communication based on lunar terrain data. Furthermore, the selection unit can analyze lunar environmental data to select a safe location. For example, it can analyze lunar temperature data and radiation data to select a safe location. Step 3: The installation unit installs the communication station at the location selected by the selection unit. The installation unit can, for example, have a robot transport the parts needed to assemble the communication station and assemble it on-site. The installation unit can also fine-tune the installation position of the communication station to place it in the optimal location. For example, the installation unit can use a robot arm to fine-tune the position of the communication station. Furthermore, the installation unit can perform operational checks after the communication station is installed to confirm that it is functioning correctly. For example, the installation unit can check the operation of each component of the communication station to confirm that there are no abnormalities. Step 4: The communications unit uses the communications station installed by the installation unit to communicate between the Moon and Earth. The communications unit can, for example, use a communications satellite to connect the communications station on the lunar surface with the communications station on Earth, enabling high-speed, high-capacity data communication. The communications unit can also adjust communications parameters in real time to ensure communication stability. For example, the communications unit monitors communication delays and error rates and adjusts communications parameters as needed. Furthermore, the communications unit can encrypt communications data to ensure communication security. For example, the communications unit encrypts communications data to prevent unauthorized access.

[0063] (Example of form 2) The system according to an embodiment of the present invention is a mechanism that uses AI to autonomously construct a communication station on the lunar surface without human intervention and provides high-speed, high-capacity communication services between the Moon and Earth. This system consists of the following steps. First, an AI-equipped robot is sent to the lunar surface. Next, the robot autonomously selects the optimal location and installs the communication station. Furthermore, communication between the Moon and Earth is conducted using a communication satellite. This mechanism reduces human risk and allows for the construction of a lunar communication infrastructure at low cost. For example, an AI-equipped robot is sent to the lunar surface. This robot can operate autonomously. For example, the robot can analyze the lunar terrain and select the optimal location. Next, the robot autonomously selects the optimal location and installs the communication station. The robot analyzes the lunar terrain and environment and selects the optimal location for installing the communication station. For example, the robot can select a flat area on the lunar surface and install the communication station. Furthermore, communication between the Moon and Earth is conducted using a communication satellite. The communication satellite can perform high-speed, high-capacity communication. For example, the communication satellite can connect the lunar communication station and the Earth communication station to perform high-speed, high-capacity data communication. This mechanism reduces human risk and enables the construction of a lunar communication infrastructure at a low cost. For example, manned lunar development involves significant costs and risks, but these problems can be solved by autonomously establishing communication stations without human intervention. Furthermore, the establishment of a communication infrastructure will improve the efficiency of lunar exploration and space development, leading to further advancements. In short, the system enables the construction of a lunar communication infrastructure at a low cost while reducing human risk.

[0064] The system according to this embodiment comprises a transmitter, a selection unit, an installation unit, and a communication unit. The transmitter sends an AI-equipped robot to the lunar surface. The transmitter can, for example, send the robot to the lunar surface using a rocket. The transmitter can also track the robot's position in real time and assist in accurate landing. For example, the transmitter can track the robot's position using GPS technology and adjust the landing site. Furthermore, the transmitter can monitor the robot's status and perform an emergency stop if an abnormality occurs. For example, the transmitter can analyze data from the robot's sensors and perform an emergency stop if an abnormality is detected. The selection unit allows the robot to autonomously select the optimal location. For example, the selection unit can analyze lunar surface topography data and select a flat location. The selection unit can also select an optimal location considering the line of sight for communication. For example, the selection unit selects a location with a good line of sight for communication based on lunar surface topography data. Furthermore, the selection unit can analyze lunar surface environmental data and select a safe location. For example, the selection unit analyzes temperature and radiation data from the lunar surface to select a safe location. The installation unit installs the communication station at the location selected by the selection unit. The installation unit can, for example, use robots to transport parts for assembling the communication station and assemble it on-site. The installation unit can also fine-tune the installation position of the communication station to the optimal location. For example, the installation unit can use a robot arm to fine-tune the position of the communication station. Furthermore, the installation unit can perform operational checks after the communication station is installed to ensure that it is functioning correctly. For example, the installation unit can check the operation of each component of the communication station to ensure there are no abnormalities. The communication unit uses the communication station installed by the installation unit to communicate between the Moon and Earth. The communication unit can, for example, use a communication satellite to connect the lunar communication station with the Earth communication station to perform high-speed, high-capacity data communication. The communication unit can also adjust communication parameters in real time to ensure communication stability. For example, the communication unit monitors communication delays and error rates and adjusts communication parameters as needed. Furthermore, the communication unit can encrypt communication data to ensure communication security. For example, the communications department encrypts communication data to prevent unauthorized access.This system will enable AI-equipped robots to autonomously establish communication stations on the lunar surface, achieving high-speed, high-capacity communication between the Moon and Earth.

[0065] The transmitter unit will send AI-equipped robots to the lunar surface. For example, the transmitter unit can use a rocket to send the robots to the lunar surface. Specifically, it manages the entire process from rocket launch to lunar landing, ensuring the robots reach the lunar surface safely. The rocket is equipped with shields to protect the robots and shock absorbers to absorb the impact of the lunar landing. The transmitter unit can also track the robots' position in real time to assist with precise landings. For example, it can use GPS technology to track the robots' position and adjust the landing site. Because of the distance from Earth, GPS signals are received using special high-sensitivity receivers. Furthermore, the transmitter unit can monitor the robots' status and initiate an emergency stop if an anomaly occurs. For example, it can analyze data from the robots' sensors and initiate an emergency stop if an anomaly is detected. The sensors collect data such as temperature, pressure, and vibration in real time, and immediately notify the Earth control center if an anomaly is detected. Thus, the transmitter unit plays a crucial role in ensuring the safe operation of the robots and the success of the lunar mission.

[0066] The selection unit allows the robot to autonomously select the optimal location. For example, the selection unit can analyze lunar surface topography data and select a flat area. Specifically, it uses cameras and laser rangefinders mounted on the robot to collect detailed lunar surface topography data, which is then analyzed by AI. The AI ​​uses image recognition technology to detect obstacles such as rocks and craters, and identifies flat and safe locations. The selection unit can also select the optimal location considering the line of sight for communication. For example, based on lunar surface topography data, the selection unit selects a location with a good line of sight for communication. To ensure a clear line of sight, locations without tall obstacles in the surrounding area and with a short straight-line distance to Earth are selected. Furthermore, the selection unit can analyze lunar surface environmental data and select a safe location. For example, the selection unit analyzes lunar surface temperature and radiation data to select a safe location. Using temperature and radiation sensors, it identifies locations without extreme temperature changes or high radiation levels. This allows the selection unit to autonomously select a location where the robot can safely and efficiently install a communication station.

[0067] The installation unit installs the communication station at the location selected by the selection unit. The installation unit can, for example, transport parts for assembling the communication station using a robot and assemble it on-site. Specifically, the robot is equipped with parts such as the communication station's antenna, power supply, and communication equipment, and has arms and tools for assembling these on-site. Upon arriving at the selected location, the robot first levels the ground and installs the foundation of the communication station. Next, it uses its arms to assemble the antenna and communication equipment and connect the power supply. The installation unit can also fine-tune the installation position of the communication station to the optimal location. For example, the installation unit can use the robot's arms to fine-tune the position of the communication station. It can adjust the angle and height of the communication station's antenna to ensure optimal communication conditions. Furthermore, the installation unit can perform operational checks after the communication station is installed to confirm that it is functioning correctly. For example, the installation unit checks the operation of each component of the communication station to confirm that there are no abnormalities. It can transmit test signals for the communication equipment to confirm that communication with Earth can be performed normally. This ensures that the installation unit reliably sets up and verifies the operation of the communications station, playing a crucial role in securing communications on the lunar surface.

[0068] The Communications Department uses communication stations installed by the Installation Department to conduct communications between the Moon and Earth. For example, the Communications Department can connect a lunar communication station to an Earth communication station using a communications satellite, enabling high-speed, high-capacity data communication. Specifically, the communications satellite receives signals from the lunar communication station and relays them to the Earth communication station. The satellite orbits between the Earth and the Moon, always maintaining an optimal position for communication. Furthermore, the Communications Department can adjust communication parameters in real time to ensure communication stability. For example, it monitors communication delays and error rates and adjusts communication parameters as needed. If a communication delay occurs, it adjusts the communication speed or adds error correction codes to maintain communication quality. In addition, the Communications Department can encrypt communication data to ensure communication security. For example, it encrypts communication data to prevent unauthorized access. It uses encryption algorithms to encrypt communication data, making decryption difficult. In this way, the Communications Department plays a crucial role in realizing high-speed, high-capacity communication between the Moon and Earth, and ensuring communication stability and security.

[0069] The selection unit can analyze the lunar surface topography and select the optimal location. For example, the selection unit can analyze lunar surface topography data and select a flat location. The selection unit can also select the optimal location considering the line of sight for communication. For example, the selection unit can select a location with a good line of sight for communication based on lunar surface topography data. Furthermore, the selection unit can analyze lunar surface environmental data and select a safe location. For example, the selection unit can analyze lunar surface temperature data and radiation data and select a safe location. In this way, by analyzing the lunar surface topography, the optimal location for establishing a communication station can be selected. Some or all of the above processing in the selection unit may be performed using AI, for example, or without AI. For example, the selection unit can input lunar surface topography data into a generating AI and have the generating AI perform the selection of the optimal location.

[0070] The installation unit can install a communication station. The installation unit can, for example, transport parts for a robot to assemble the communication station and assemble it on-site. The installation unit can also fine-tune the installation position of the communication station and install it in the optimal location. For example, the installation unit can use a robot arm to fine-tune the position of the communication station. Furthermore, the installation unit can perform operational checks after the installation of the communication station to confirm that it is functioning correctly. For example, the installation unit can check the operation of each component of the communication station and confirm that there are no abnormalities. This makes communication between the Moon and Earth possible by installing the communication station. Some or all of the above processes in the installation unit may be performed using AI, for example, or without AI. For example, the installation unit can have a generating AI perform the fine-tuning of the installation position of the communication station.

[0071] The communications unit can perform high-speed, high-capacity communication between the Moon and Earth using communications satellites. For example, the communications unit can connect a communications station on the lunar surface with a communications station on Earth using communications satellites to perform high-speed, high-capacity data communication. The communications unit can also adjust communications parameters in real time to ensure the stability of communications. For example, the communications unit monitors communications delays and error rates and adjusts communications parameters as needed. Furthermore, the communications unit can encrypt communications data to ensure the security of communications. For example, the communications unit encrypts communications data to prevent unauthorized access. This makes high-speed, high-capacity communication possible by using communications satellites. Some or all of the above-described processes in the communications unit may be performed using AI, for example, or without AI. For example, the communications unit can have a generating AI perform the adjustment of communications parameters.

[0072] The transmitter can send a robot to the lunar surface. For example, the transmitter can send the robot to the lunar surface using a rocket. The transmitter can also track the robot's position in real time and assist in precise landing. For example, the transmitter can track the robot's position using GPS technology and adjust the landing site. Furthermore, the transmitter can monitor the robot's status and perform an emergency stop if an anomaly occurs. For example, the transmitter can analyze data from the robot's sensors and perform an emergency stop if an anomaly is detected. This allows for the autonomous establishment of a communication station by sending the robot to the lunar surface. Some or all of the above processing in the transmitter may be performed using AI, for example, or without AI. For example, the transmitter can have a generative AI perform robot position tracking.

[0073] The transmitter can estimate the robot's emotions and adjust the timing of transmission to the lunar surface based on the estimated emotions. For example, if the robot is tense, the transmitter can delay the transmission to allow the robot time to prepare. Conversely, if the robot is relaxed, the transmitter can start transmitting immediately. Furthermore, if the robot is excited, the transmitter can adjust the transmission timing to transmit at the optimal time. This allows the robot to be transmitted at the optimal time by adjusting the transmission timing based on the robot's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or a generative AI. The generative AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the transmitter may be performed using AI or not. For example, the transmitter can input the robot's emotion data into a generative AI and have the generative AI adjust the transmission timing.

[0074] The transmission unit can analyze the robot's past transmission history and select the optimal transmission method. For example, the transmission unit can select a transmission method with a high success rate from past transmission history. It can also select a transmission method with fewer failures based on past transmission history. Furthermore, the transmission unit can analyze past transmission history and select the most efficient transmission method. In this way, the optimal transmission method can be selected by analyzing past transmission history. Some or all of the above processing in the transmission unit may be performed using AI, for example, or without AI. For example, the transmission unit can input past transmission history data into a generating AI and have the generating AI perform the selection of the optimal transmission method.

[0075] The transmitting unit can adjust transmission parameters based on the current environmental conditions on the lunar surface when transmitting data from the robot. For example, the transmitting unit can adjust transmission parameters considering the weather conditions on the lunar surface. It can also adjust transmission parameters based on lunar surface topography data. Furthermore, the transmitting unit can adjust transmission parameters considering the radiation levels on the lunar surface. This allows for optimal transmission by adjusting transmission parameters based on the environmental conditions on the lunar surface. Some or all of the above processing in the transmitting unit may be performed using AI, for example, or without AI. For example, the transmitting unit can input lunar surface environmental data into a generating AI and have the generating AI perform the adjustment of transmission parameters.

[0076] The transmitting unit can estimate the emotions of robots and determine the priority of which robots to transmit based on the estimated emotions. For example, if a robot is tense, the transmitting unit will prioritize transmitting to other robots. It can also prioritize transmitting to a robot that is relaxed. Furthermore, if a robot is excited, the transmitting unit can adjust the transmission priority. This allows for the transmission of the most suitable robot by prioritizing based on the robot's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or a generative AI. The generative AI may be, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the transmitting unit may be performed using AI, or not. For example, the transmitting unit can input robot emotion data into a generative AI and have the generative AI determine the transmission priority.

[0077] The transmitting unit can select the optimal transmission route when transmitting data from a robot, taking into account the Earth's geographical location information. For example, the transmitting unit can select the optimal transmission route based on the Earth's geographical location information. The transmitting unit can also optimize the transmission route by taking the Earth's geographical location information into account. Furthermore, the transmitting unit can adjust the transmission route based on the Earth's geographical location information. This allows for the selection of the optimal transmission route by considering the Earth's geographical location information. Some or all of the above-described processes in the transmitting unit may be performed using AI, for example, or without AI. For example, the transmitting unit can input the Earth's geographical location information into a generating AI and have the generating AI perform the selection of the optimal transmission route.

[0078] The transmitting unit can analyze global social media activity and determine the appropriate transmission timing when transmitting data from the robot. For example, the transmitting unit can analyze global social media activity and determine the optimal transmission timing. The transmitting unit can also adjust the transmission timing based on global social media activity. Furthermore, the transmitting unit can optimize the transmission timing by taking global social media activity into consideration. This allows the optimal transmission timing to be determined by analyzing global social media activity. Some or all of the above processing in the transmitting unit may be performed using AI, for example, or without AI. For example, the transmitting unit can input global social media data into a generating AI and have the generating AI determine the transmission timing.

[0079] The selection unit can estimate the robot's emotions and adjust the selection criteria for the optimal location based on the estimated emotions. For example, if the robot is tense, the selection unit can relax the selection criteria and make a selection. Conversely, if the robot is relaxed, the selection unit can also apply stricter selection criteria. Furthermore, if the robot is excited, the selection unit can adjust the selection criteria to select the optimal location. In this way, the optimal location can be selected by adjusting the selection criteria based on the robot's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or a generative AI. The generative AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the selection unit may be performed using AI, for example, or not using AI. For example, the selection unit can input the robot's emotion data into a generative AI and have the generative AI perform the adjustment of the selection criteria.

[0080] The selection unit can analyze lunar terrain data in real time and dynamically select the optimal location. For example, the selection unit can analyze lunar terrain data in real time and select a flat location. The selection unit can also select a location suitable for communication based on lunar terrain data. Furthermore, the selection unit can analyze lunar terrain data in real time and select a safe location. In this way, the optimal location can be dynamically selected by analyzing lunar terrain data in real time. Some or all of the above processing in the selection unit may be performed using AI, for example, or without AI. For example, the selection unit can input lunar terrain data into a generating AI and have the generating AI perform the dynamic selection of the optimal location.

[0081] The selection unit can integrate lunar surface environmental data and select the optimal location by considering multiple factors. For example, the selection unit can integrate lunar surface environmental data and select a location suitable for communication. The selection unit can also select the optimal location based on lunar surface environmental data. Furthermore, the selection unit can integrate lunar surface environmental data and select a safe location. In this way, by integrating lunar surface environmental data, the optimal location can be selected by considering multiple factors. Some or all of the above processing in the selection unit may be performed using AI, for example, or without AI. For example, the selection unit can input lunar surface environmental data into a generating AI and have the generating AI perform the selection of the optimal location.

[0082] The selection unit can estimate the robot's emotions and adjust the display method of the selection results based on the estimated emotions of the robot. For example, if the robot is tense, the selection unit can provide a simple display method. If the robot is relaxed, the selection unit can also provide a detailed display method. Furthermore, if the robot is excited, the selection unit can provide a visually stimulating display method. In this way, the optimal display method can be provided by adjusting the display method based on the robot's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or a generative AI. The generative AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the selection unit may be performed using AI, for example, or not using AI. For example, the selection unit can input the robot's emotion data into the generative AI and have the generative AI perform the adjustment of the display method.

[0083] The selection unit can select the optimal location by considering the geographical distribution of the lunar surface. For example, the selection unit can select a location suitable for communication based on the geographical distribution of the lunar surface. The selection unit can also select the optimal location by considering the geographical distribution of the lunar surface. Furthermore, the selection unit can also select a safe location based on the geographical distribution of the lunar surface. In this way, the optimal location can be selected by considering the geographical distribution of the lunar surface. Some or all of the above processing in the selection unit may be performed using AI, for example, or without using AI. For example, the selection unit can input geographical distribution data of the lunar surface into a generating AI and have the generating AI perform the selection of the optimal location.

[0084] The selection unit can improve the accuracy of its selection by referring to relevant literature on the lunar surface. For example, the selection unit can improve the accuracy of its selection by referring to relevant literature on the lunar surface. Furthermore, the selection unit can select the optimal location based on relevant literature on the lunar surface. In addition, the selection unit can improve the accuracy of its selection by referring to relevant literature. This improves the accuracy of the selection by referring to relevant literature. Some or all of the above processing in the selection unit may be performed using AI, for example, or without AI. For example, the selection unit can input relevant literature data on the lunar surface into a generating AI and have the generating AI perform the task of improving the accuracy of the selection.

[0085] The installation unit can estimate the robot's emotions and adjust the installation method of the communication station based on the estimated emotions of the robot. For example, if the robot is tense, the installation unit can simplify the installation method. If the robot is relaxed, the installation unit can also apply a more detailed installation method. Furthermore, if the robot is excited, the installation unit can adjust the installation method to achieve optimal installation. This allows for optimal installation by adjusting the installation method based on the robot's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. The generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the installation unit may be performed using AI, for example, or without AI. For example, the installation unit can input the robot's emotion data into the generative AI and have the generative AI perform the adjustment of the installation method.

[0086] The installation unit can improve the accuracy of installation by referring to lunar terrain data when installing a communication station. For example, the installation unit can improve the accuracy of installation by referring to lunar terrain data. The installation unit can also select the optimal installation location based on lunar terrain data. Furthermore, the installation unit can improve the accuracy of installation by referring to lunar terrain data. In this way, the accuracy of installation is improved by referring to lunar terrain data. Some or all of the above processing in the installation unit may be performed using AI, for example, or without using AI. For example, the installation unit can input lunar terrain data into a generating AI and have the generating AI perform the improvement of installation accuracy.

[0087] The installation unit can optimize the installation procedure when installing a communications station by taking into account lunar environmental data. For example, the installation unit can optimize the installation procedure by taking into account lunar environmental data. The installation unit can also adjust the installation procedure based on lunar environmental data. Furthermore, the installation unit can optimize the installation procedure by taking into account lunar environmental data. In this way, the installation procedure can be optimized by taking into account lunar environmental data. Some or all of the above processing in the installation unit may be performed using AI, for example, or without using AI. For example, the installation unit can input lunar environmental data into a generating AI and have the generating AI perform the optimization of the installation procedure.

[0088] The installation unit can estimate the emotions of robots and determine installation priorities based on the estimated emotions. For example, if a robot is tense, the installation unit will prioritize installing other robots. It can also prioritize installing a robot if it is relaxed. Furthermore, if a robot is excited, the installation unit can adjust the installation priority. This allows for the optimal robot to be installed by determining priorities based on the robot's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the installation unit may be performed using AI, or not. For example, the installation unit can input robot emotion data into a generative AI and have the generative AI determine the installation priority.

[0089] The installation unit can select the optimal installation location for the communication station by considering the geographical distribution of the lunar surface. For example, the installation unit can select the optimal installation location based on the geographical distribution of the lunar surface. The installation unit can also select an installation location by considering the geographical distribution of the lunar surface. Furthermore, the installation unit can also select a safe installation location based on the geographical distribution of the lunar surface. In this way, the optimal installation location can be selected by considering the geographical distribution of the lunar surface. Some or all of the above processing in the installation unit may be performed using AI, for example, or without using AI. For example, the installation unit can input geographical distribution data of the lunar surface into a generating AI and have the generating AI perform the selection of the optimal installation location.

[0090] The installation unit can improve the accuracy of installation by referring to relevant documents when installing a communication station. For example, the installation unit can improve the accuracy of installation by referring to relevant documents. The installation unit can also select the optimal installation method based on the relevant documents. Furthermore, the installation unit can improve the accuracy of installation by referring to relevant documents. In this way, the accuracy of installation is improved by referring to relevant documents. Some or all of the above processing in the installation unit may be performed using AI, for example, or without using AI. For example, the installation unit can input relevant document data into a generating AI and have the generating AI perform the improvement of installation accuracy.

[0091] The communication unit can estimate the robot's emotions and adjust the communication method based on the estimated emotions. For example, if the robot is tense, the communication unit can simplify the communication method. If the robot is relaxed, the communication unit can also apply a more detailed communication method. Furthermore, if the robot is excited, the communication unit can adjust the communication method to provide optimal communication. This allows for optimal communication by adjusting the communication method based on the robot's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or a generative AI. The generative AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the communication unit may be performed using AI, or not using AI. For example, the communication unit can input the robot's emotion data into a generative AI and have the generative AI adjust the communication method.

[0092] The communications unit can analyze communication data between the lunar surface and Earth in real time during communication and optimize the efficiency of communication. For example, the communications unit can analyze communication data between the lunar surface and Earth in real time and optimize the efficiency of communication. The communications unit can also improve the efficiency of communication based on the communication data between the lunar surface and Earth. Furthermore, the communications unit can analyze communication data between the lunar surface and Earth in real time and improve the efficiency of communication. In this way, the efficiency of communication can be optimized by analyzing communication data in real time. Some or all of the above processing in the communications unit may be performed using AI, for example, or without using AI. For example, the communications unit can input communication data into a generating AI and have the generating AI perform the optimization of communication efficiency.

[0093] The communications unit can adjust the communication parameters during communication, taking into account lunar surface environmental data. For example, the communications unit adjusts the communication parameters by considering lunar surface environmental data. The communications unit can also optimize the communication parameters based on lunar surface environmental data. Furthermore, the communications unit can adjust the communication parameters by considering lunar surface environmental data. This allows for the optimization of communication parameters by considering lunar surface environmental data. Some or all of the above processing in the communications unit may be performed using AI, for example, or without AI. For example, the communications unit can input lunar surface environmental data into a generating AI and have the generating AI perform the adjustment of communication parameters.

[0094] The communications unit can estimate the emotions of robots and determine communication priorities based on the estimated emotions. For example, if a robot is tense, the communications unit will prioritize communication with other robots. It can also prioritize communication with robots that are relaxed. Furthermore, if a robot is excited, the communications unit can adjust the communication priorities. This allows for prioritizing communication with the most suitable robot based on its emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the communications unit may be performed using AI, or not. For example, the communications unit can input robot emotion data into a generative AI and have the generative AI determine communication priorities.

[0095] The communications unit can select the optimal communication route during communication, taking into account the geographical distribution of the lunar surface. For example, the communications unit selects the optimal communication route based on the geographical distribution of the lunar surface. The communications unit can also optimize the communication route by taking into account the geographical distribution of the lunar surface. Furthermore, the communications unit can adjust the communication route based on the geographical distribution of the lunar surface. In this way, the optimal communication route can be selected by taking into account the geographical distribution of the lunar surface. Some or all of the above processing in the communications unit may be performed using AI, for example, or without using AI. For example, the communications unit can input geographical distribution data of the lunar surface into a generating AI and have the generating AI perform the selection of the optimal communication route.

[0096] The communication unit can improve the accuracy of communication by referring to relevant documents during communication. For example, the communication unit can improve the accuracy of communication by referring to relevant documents. The communication unit can also select the optimal communication method based on the relevant documents. Furthermore, the communication unit can improve the accuracy of communication by referring to relevant documents. In this way, the accuracy of communication is improved by referring to relevant documents. Some or all of the above processing in the communication unit may be performed using AI, for example, or without using AI. For example, the communication unit can input relevant document data into a generating AI and have the generating AI perform the improvement of communication accuracy.

[0097] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0098] The transmitter can analyze lunar terrain data in real time when transmitting data from the robot and select the optimal landing site. For example, the transmitter can analyze lunar terrain data in real time and select a flat area. The transmitter can also select the optimal location to ensure landing safety based on the lunar terrain data. Furthermore, the transmitter can analyze lunar terrain data in real time and fine-tune the landing site. In this way, the optimal landing site can be selected by analyzing lunar terrain data in real time. Some or all of the above processing in the transmitter may be performed using AI, for example, or without AI. For example, the transmitter can input lunar terrain data into a generating AI and have the generating AI select the optimal landing site.

[0099] The selection unit can select the optimal location not only by analyzing lunar topographic data but also by considering lunar weather data. For example, the selection unit can analyze lunar weather data and select a location with minimal fluctuations in wind speed and temperature. Furthermore, based on lunar weather data, the selection unit can select the optimal location to ensure communication stability. In addition, the selection unit can analyze lunar weather data and select a safe location considering long-term weather variations. This allows for the selection of the optimal location for establishing a communication station by considering lunar weather data. Some or all of the above-described processes in the selection unit may be performed using AI, for example, or without AI. For example, the selection unit can input lunar weather data into a generating AI and have the generating AI perform the selection of the optimal location.

[0100] The installation unit can ensure the stability of the installation of the communication station by taking into account lunar geological data. For example, the installation unit can analyze lunar geological data and select a location with stable ground. The installation unit can also fine-tune the installation location of the communication station based on lunar geological data. Furthermore, the installation unit can optimize the installation procedure by taking lunar geological data into consideration. In this way, the stability of the communication station installation can be ensured by taking lunar geological data into consideration. Some or all of the above processing in the installation unit may be performed using AI, for example, or without using AI. For example, the installation unit can input lunar geological data into a generating AI and have the generating AI perform adjustments to ensure the stability of the installation.

[0101] The communications unit can adjust communication parameters during communication, taking into account lunar magnetic field data. For example, the communications unit can analyze lunar magnetic field data and set optimal parameters to ensure communication stability. The communications unit can also make adjustments to reduce the communication error rate based on lunar magnetic field data. Furthermore, the communications unit can optimize communication efficiency by taking lunar magnetic field data into consideration. In this way, communication parameters can be optimized by considering lunar magnetic field data. Some or all of the above processing in the communications unit may be performed using AI, for example, or without AI. For example, the communications unit can input lunar magnetic field data into a generating AI and have the generating AI perform the adjustment of communication parameters.

[0102] The transmitting unit can adjust the transmission timing by taking into account Earth's weather data when transmitting data from the robot. For example, the transmitting unit can analyze Earth's weather data and delay transmission during bad weather. The transmitting unit can also select the optimal transmission timing based on Earth's weather data. Furthermore, the transmitting unit can make adjustments to ensure the safety of transmission by taking Earth's weather data into consideration. This allows for the selection of the optimal transmission timing by considering Earth's weather data. Some or all of the above processing in the transmitting unit may be performed using AI, for example, or without AI. For example, the transmitting unit can input Earth's weather data into a generating AI and have the generating AI perform the adjustment of the transmission timing.

[0103] The transmitter can estimate the robot's emotions and adjust its readiness for transmission based on the estimated emotions. For example, if the robot is tense, the transmitter will proceed cautiously with transmission preparation. If the robot is relaxed, the transmitter can also proceed quickly with transmission preparation. Furthermore, if the robot is excited, the transmitter can adjust its readiness for transmission to transmit at the optimal time. This allows for transmission at the optimal time by adjusting the readiness for transmission based on the robot's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or a generative AI. The generative AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the transmitter may be performed using AI, or not using AI. For example, the transmitter can input the robot's emotion data into a generative AI and have the generative AI adjust the readiness for transmission.

[0104] The selection unit can estimate the robot's emotions and adjust the speed of the selection process based on the estimated emotions. For example, if the robot is tense, the selection unit can proceed slowly with the selection process. Conversely, if the robot is relaxed, the selection unit can also proceed quickly with the selection process. Furthermore, if the robot is excited, the selection unit can adjust the speed of the selection process to select the optimal location. In this way, the optimal location can be selected by adjusting the speed of the selection process based on the robot's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or a generative AI. The generative AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the selection unit may be performed using AI, or not using AI. For example, the selection unit can input the robot's emotion data into a generative AI and have the generative AI perform the speed adjustment of the selection process.

[0105] The installation unit can estimate the robot's emotions and adjust the installation procedure based on the estimated emotions. For example, if the robot is tense, the installation unit can simplify the installation procedure. If the robot is relaxed, the installation unit can also apply a detailed installation procedure. Furthermore, if the robot is excited, the installation unit can adjust the installation procedure to achieve optimal installation. This allows for optimal installation by adjusting the installation procedure based on the robot's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or a generative AI. The generative AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the installation unit may be performed using AI, or not using AI. For example, the installation unit can input the robot's emotion data into a generative AI and have the generative AI adjust the installation procedure.

[0106] The communications unit can estimate the emotions of robots and determine communication priorities based on the estimated emotions. For example, if a robot is tense, the communications unit will prioritize communication with other robots. It can also prioritize communication with robots that are relaxed. Furthermore, if a robot is excited, the communications unit can adjust the communication priorities. This allows for prioritizing communication with the most suitable robot based on its emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the communications unit may be performed using AI, or not. For example, the communications unit can input robot emotion data into a generative AI and have the generative AI determine communication priorities.

[0107] The communications unit can select the optimal communication route during communication, taking into account the geographical distribution of the lunar surface. For example, the communications unit selects the optimal communication route based on the geographical distribution of the lunar surface. The communications unit can also optimize the communication route by taking into account the geographical distribution of the lunar surface. Furthermore, the communications unit can adjust the communication route based on the geographical distribution of the lunar surface. In this way, the optimal communication route can be selected by taking into account the geographical distribution of the lunar surface. Some or all of the above processing in the communications unit may be performed using AI, for example, or without using AI. For example, the communications unit can input geographical distribution data of the lunar surface into a generating AI and have the generating AI perform the selection of the optimal communication route.

[0108] The following briefly describes the processing flow for example form 2.

[0109] Step 1: The transmitter sends the AI-equipped robot to the lunar surface. The transmitter can, for example, send the robot to the lunar surface using a rocket. The transmitter can also track the robot's position in real time and assist in precise landing. For example, the transmitter can track the robot's position using GPS technology and adjust the landing site. Furthermore, the transmitter can monitor the robot's status and perform an emergency stop if an anomaly occurs. For example, the transmitter can analyze data from the robot's sensors and perform an emergency stop if an anomaly is detected. Step 2: The selection unit autonomously selects the optimal location for the robot. For example, the selection unit can analyze lunar terrain data to select a flat location. It can also select an optimal location considering the line of sight for communication. For example, it can select a location with a good line of sight for communication based on lunar terrain data. Furthermore, the selection unit can analyze lunar environmental data to select a safe location. For example, it can analyze lunar temperature data and radiation data to select a safe location. Step 3: The installation unit installs the communication station at the location selected by the selection unit. The installation unit can, for example, have a robot transport the parts needed to assemble the communication station and assemble it on-site. The installation unit can also fine-tune the installation position of the communication station to place it in the optimal location. For example, the installation unit can use a robot arm to fine-tune the position of the communication station. Furthermore, the installation unit can perform operational checks after the communication station is installed to confirm that it is functioning correctly. For example, the installation unit can check the operation of each component of the communication station to confirm that there are no abnormalities. Step 4: The communications unit uses the communications station installed by the installation unit to communicate between the Moon and Earth. The communications unit can, for example, use a communications satellite to connect the communications station on the lunar surface with the communications station on Earth, enabling high-speed, high-capacity data communication. The communications unit can also adjust communications parameters in real time to ensure communication stability. For example, the communications unit monitors communication delays and error rates and adjusts communications parameters as needed. Furthermore, the communications unit can encrypt communications data to ensure communication security. For example, the communications unit encrypts communications data to prevent unauthorized access.

[0110] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0111] Data generation model 58 is a form of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AI include text generation AI, image generation AI, and multimodal generation AI. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats from audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each of the above parts is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example.Furthermore, processing performed by AI, including generative AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI, including generative AI.

[0112] Furthermore, the processing performed by the data processing system 10 described above is carried out by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but it may also be carried out by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0113] Each of the multiple elements described above, including the transmitting unit, selection unit, installation unit, and communication unit, is implemented, for example, by at least one of the smart device 14 and the data processing unit 12. For example, the transmitting unit can track the robot's position and adjust the landing site using the control unit 46A of the smart device 14. The selection unit analyzes lunar surface terrain data using the specific processing unit 290 of the data processing unit 12 and selects the optimal location. The installation unit fine-tunes the installation position of the communication station using the control unit 46A of the smart device 14. The communication unit adjusts communication parameters using the specific processing unit 290 of the data processing unit 12 to ensure communication stability. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be modified in various ways.

[0114] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0115] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0116] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0117] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0118] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0119] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0120] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0121] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing by the processor 28. The storage 32 stores the specific processing program 56.

[0122] The processor 28 reads a specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0123] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0124] In the smart glasses 214, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0125] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0126] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0127] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0128] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0129] Each of the multiple elements described above, including the transmitting unit, selection unit, installation unit, and communication unit, is implemented, for example, by at least one of the smart glasses 214 and the data processing unit 12. For example, the transmitting unit can track the robot's position and adjust the landing site using the control unit 46A of the smart glasses 214. The selection unit analyzes lunar surface terrain data using the specific processing unit 290 of the data processing unit 12 and selects the optimal location. The installation unit fine-tunes the installation position of the communication station using the control unit 46A of the smart glasses 214. The communication unit adjusts communication parameters using the specific processing unit 290 of the data processing unit 12 to ensure communication stability. The correspondence between each unit and the devices and control units is not limited to the examples described above, and various modifications are possible.

[0130] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0131] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0132] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0133] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0134] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0135] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0136] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0137] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0138] The processor 28 reads a specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0139] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0140] In the headset terminal 314, specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50 and executes the read specific program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific program 60 executed on the RAM 48. The headset terminal 314 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0141] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0142] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0143] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0144] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset terminal 314, but may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the headset terminal 314 or an external device, and the headset terminal 314 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0145] Each of the multiple elements described above, including the transmitting unit, selection unit, installation unit, and communication unit, is implemented, for example, by at least one of the headset terminal 314 and the data processing unit 12. For example, the transmitting unit can track the robot's position and adjust the landing site using the control unit 46A of the headset terminal 314. The selection unit analyzes lunar surface terrain data using the specific processing unit 290 of the data processing unit 12 and selects the optimal location. The installation unit fine-tunes the installation position of the communication station using the control unit 46A of the headset terminal 314. The communication unit adjusts communication parameters using the specific processing unit 290 of the data processing unit 12 to ensure communication stability. The correspondence between each unit and the devices and control units is not limited to the examples described above, and various modifications are possible.

[0146] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0147] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0148] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0149] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0150] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0151] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS image sensor or CCD image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0152] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0153] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. The robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0154] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0155] The processor 28 reads a specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0156] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0157] In robot 414, specific processing is performed by processor 46. A specific program 60 is stored in storage 50. Processor 46 reads the specific program 60 from storage 50 and executes it on RAM 48. The specific processing is achieved by processor 46 acting as a control unit 46A according to the specific program 60 executed on RAM 48. Robot 414 also has data generation model 58 and emotion identification model 59, similar to those of the robot, and can perform processing similar to that of the specific processing unit 290 using these models.

[0158] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0159] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0160] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0161] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the robot 414 or an external device, and the robot 414 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0162] Each of the multiple elements described above, including the transmitting unit, selection unit, installation unit, and communication unit, is implemented, for example, in at least one of the robot 414 and the data processing unit 12. For example, the transmitting unit can track the robot's position and adjust the landing site using the control unit 46A of the robot 414. The selection unit analyzes lunar surface terrain data using the specific processing unit 290 of the data processing unit 12 and selects the optimal location. The installation unit fine-tunes the installation position of the communication station using the control unit 46A of the robot 414. The communication unit adjusts communication parameters using the specific processing unit 290 of the data processing unit 12 to ensure communication stability. The correspondence between each unit and the devices and control units is not limited to the examples described above, and various modifications are possible.

[0163] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0164] Figure 9 shows the emotion map 400, in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0165] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0166] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0167] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, and motorcycles, emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated based, for example, on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0168] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0169] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0170] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing method for the specific process may be used, which includes computer 22 and multiple other computers.

[0171] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0172] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0173] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0174] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0175] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0176] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0177] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0178] Furthermore, although the above-described examples were divided into four embodiments, some or all of these embodiments may be combined. Also, the smart device 14, smart glasses 214, headset terminal 314, and robot 414 are just examples, and they may be combined, or other devices may be used. Also, although the above-described examples were divided into two embodiments, Embodiment 1 and Embodiment 2, these may be combined.

[0179] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and other things that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0180] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0181] (Note 1) A transmission unit that sends an AI-equipped robot to the lunar surface, A selection unit that autonomously selects the optimal location for the robot sent by the transmission unit, An installation unit for installing a communications station at a location selected by the aforementioned selection unit, The system includes a communication unit that uses a communication station installed by the aforementioned installation unit to communicate between the Moon and Earth. A system characterized by the following features. (Note 2) The aforementioned selection unit is Analyze the lunar topography and select the optimal location. The system described in Appendix 1, characterized by the features described herein. (Note 3) The aforementioned mounting section is Establish a communications station The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned communications unit is High-speed, high-capacity communication between the Moon and Earth will be conducted using communication satellites. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned transmitting unit Send a robot to the moon The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned transmitting unit The system estimates the robot's emotions and adjusts the timing of transmission to the lunar surface based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned transmitting unit The robot's past transmission history is analyzed to select the optimal transmission method. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned transmitting unit When transmitting data from the robot, the transmission parameters are adjusted based on the current environmental conditions on the lunar surface. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned transmitting unit It estimates the emotions of robots and determines the priority of which robots to send messages to based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned transmitting unit When transmitting data from a robot, the optimal transmission path is selected by considering the Earth's geographical location information. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned transmitting unit When the robot sends a message, it analyzes global social media activity to determine the appropriate timing for sending the message. The system described in Appendix 1, characterized by the features described herein. (Note 12) The aforementioned selection unit is The system estimates the robot's emotions and adjusts the criteria for selecting the optimal location based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 13) The aforementioned selection unit is Analyze lunar surface topography data in real time and dynamically select the optimal location. The system described in Appendix 1, characterized by the features described herein. (Note 14) The aforementioned selection unit is Integrate lunar surface environment data and select the optimal location by considering multiple factors. The system described in Appendix 1, characterized by the features described herein. (Note 15) The aforementioned selection unit is The system estimates the robot's emotions and adjusts how the selection results are displayed based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 16) The aforementioned selection unit is We will select the optimal location considering the geographical distribution of the lunar surface. The system described in Appendix 1, characterized by the features described herein. (Note 17) The aforementioned selection unit is Referencing relevant literature on the lunar surface will improve the accuracy of the selection. The system described in Appendix 1, characterized by the features described herein. (Note 18) The aforementioned mounting section is The system estimates the robot's emotions and adjusts the method of setting up the communication station based on the estimated emotions of the robot. The system described in Appendix 1, characterized by the features described herein. (Note 19) The aforementioned mounting section is When setting up a communications station, referencing lunar terrain data will improve the accuracy of the setup. The system described in Appendix 1, characterized by the features described herein. (Note 20) The aforementioned mounting section is When setting up a communications station, the installation procedure is optimized by taking into account lunar surface environment data. The system described in Appendix 1, characterized by the features described herein. (Note 21) The aforementioned mounting section is The system estimates the emotions of robots and determines installation priorities based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 22) The aforementioned mounting section is When establishing a communications station, the optimal location will be selected considering the geographical distribution on the lunar surface. The system described in Appendix 1, characterized by the features described herein. (Note 23) The aforementioned mounting section is When setting up a communications station, refer to relevant literature to improve the accuracy of the setup. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned communications unit is It estimates the robot's emotions and adjusts the communication method based on the estimated emotions of the robot. The system described in Appendix 1, characterized by the features described herein. (Note 25) The aforementioned communications unit is During communication, the system analyzes communication data between the lunar surface and Earth in real time to optimize communication efficiency. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned communications unit is During communication, the communication parameters are adjusted taking into account the lunar surface environment data. The system described in Appendix 1, characterized by the features described herein. (Note 27) The aforementioned communications unit is It estimates the robot's emotions and determines communication priorities based on the estimated emotions of the robot. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned communications unit is During communication, the optimal communication path is selected considering the geographical distribution of the lunar surface. The system described in Appendix 1, characterized by the features described herein. (Note 29) The aforementioned communications unit is When communicating, refer to relevant literature to improve the accuracy of the communication. The system described in Appendix 1, characterized by the features described herein. [Explanation of Symbols]

[0182] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots

Claims

1. A transmission unit that will send an AI-equipped robot to the lunar surface, A selection unit that autonomously selects the optimal location for the robot sent by the transmission unit, An installation unit for installing a communications station at a location selected by the aforementioned selection unit, The system includes a communication unit that uses a communication station installed by the aforementioned installation unit to communicate between the Moon and Earth. A system characterized by the following features.

2. The aforementioned selection unit is Analyze the lunar topography and select the optimal location. The system according to feature 1.

3. The aforementioned mounting section is Establish a communications station The system according to feature 1.

4. The aforementioned communications unit is High-speed, high-capacity communication between the Moon and Earth will be conducted using communication satellites. The system according to feature 1.

5. The aforementioned transmitting unit Send a robot to the moon The system according to feature 1.

6. The aforementioned transmitting unit The system estimates the robot's emotions and adjusts the timing of transmission to the lunar surface based on the estimated emotions. The system according to feature 1.

7. The aforementioned transmitting unit The robot's past transmission history is analyzed to select the optimal transmission method. The system according to feature 1.

8. The aforementioned transmitting unit When transmitting data from the robot, the transmission parameters are adjusted based on the current environmental conditions on the lunar surface. The system according to feature 1.

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