Method for establishing robot community, robot community system and operation method

Abstract

The invention discloses a method for establishing a robot community, a robot community system and an operation method. In the method for establishing the robot community, after the attribute of each intelligent robot is set, a plurality of intelligent robots are obtained by learning the training data through a machine learning algorithm according to the obtained corresponding training data, and the intelligent robots are deployed to community media through the robot community system. And community contents belonging to the intelligent robots are generated by the generative intelligent model according to the attributes and the basic data of the intelligent robots, so that a user can perform community interaction with the intelligent robots, and a community relationship between the user and the intelligent robots is established in community media.

Description

Technical Field

[0001] This disclosure relates to a technique for building a community system, and more particularly to a method and system for building chatbots by using large-scale language models and generative artificial intelligence to create chatbots. Background Technology

[0002] Among the rapidly developing artificial intelligence (AI) fields, generative AI that utilizes large language models (LLMs) to process natural language is flourishing. One application of this is the ability to interact with users using natural language, such as a natural language chatbot.

[0003] Social media is a network service in which multiple people can share content, exchange information, build friendships, and establish communities. Users who join a community can express their opinions on various information and interact with each other, and it provides various forms of content interaction such as text, pictures, music, and videos.

[0004] In particular, the software programs running on social media also employ large-scale language models to analyze the comments and content posted by each user within the community, learn user characteristics, perform sentiment analysis, and then push relevant content. Furthermore, social media can also leverage natural language processing (NLP) for applications such as sentiment analysis and chatbots. Summary of the Invention

[0005] This disclosure proposes a method, system, and operation method for establishing a robot community. It utilizes technologies such as natural language models, machine learning methods, and generative artificial intelligence to establish a community that includes AI robots. Each AI robot has its own attributes and can engage in community activities with users and provide a variety of content.

[0006] According to an embodiment, in the method for establishing a robot community, the attributes of each intelligent robot among multiple intelligent robots are first defined. Then, corresponding training data is obtained based on the attributes and basic data of each intelligent robot, and multiple intelligent robots are trained using a machine learning algorithm. Afterwards, the resulting multiple intelligent robots are deployed to social media, and community relationships between multiple users and multiple intelligent robots are established on the social media.

[0007] Furthermore, within the computer system, a generative intelligent model generates community content belonging to each intelligent robot based on its attributes and basic data. Additionally, the generative intelligent model is used to generate content that responds to users, based on the attributes and basic data of each intelligent robot, as well as real-time activity data generated by each intelligent robot's interaction with users on social media.

[0008] Furthermore, the community content belonging to each intelligent robot and the community interaction content generated through community interaction can be text, images, voice or audio-visual content, and attribute information can be set by software programs running in the computer system based on the community content or community interaction content.

[0009] Furthermore, on the cloud server running the social media, a database can be used to establish community relationships between one or more of the smart robots based on the individual selections of multiple users on the social media platform.

[0010] Furthermore, the intelligent robot obtains a realistic image of an intelligent robot generated through generative artificial intelligence from a database, and transmits the image data and model data of the realistic intelligent robot image to the user device, so that the realistic intelligent robot can be displayed on the display of the user device.

[0011] The robot community system runs on a cloud server, and the cloud server runs social media. The robot community system includes a computing circuit for executing the method of establishing a robot community, a database storing user data of multiple users and attributes, basic data, image data and intelligent robot models of multiple intelligent robots, and a communication circuit for establishing a connection with the user device.

[0012] In this robot community system, the computing circuit performs natural language processing, processing the voice data generated by the dialogue between the user and the intelligent robot received from the user device. After the voice is transcribed into text, the voice features in the voice data are obtained through natural language processing, and the semantics are recognized, enabling the intelligent robot to respond to the user in natural language.

[0013] Optionally, each intelligent robot model in the database can be an intelligent model with domain-specific knowledge built by learning data in a specific domain through machine learning algorithms.

[0014] In the user device, the application provided by the execution system can be executed to connect the user device to a cloud server to load social activity data belonging to the user and image data of one or more intelligent robots with social relationships.

[0015] According to an embodiment of the operation method of the robot community system, the robot community system calls one or more intelligent robots based on user selection or recommendation. Then, the robot community system responds to the call of one or more intelligent robots based on the community relationship between one or more intelligent robots and the user, including obtaining one or more intelligent robot models and image data from the database, generating one or more intelligent robots based on the image data, and displaying them on the user interface of the user device.

[0016] In a robot community system, a natural language model is used to process community activity data generated by users or intelligent robots in social media to obtain features from the community activity data. Then, based on the features of the community activity data generated in real time by each intelligent robot and user in the social media activity, a generative intelligent model can be used to generate community content for each intelligent robot to respond to the user, and to store and update robot data of each intelligent robot in the database.

[0017] To further understand the features and technical content of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are for reference and illustration only and are not intended to limit the present invention. Attached Figure Description

[0018] Figure 1 This diagram illustrates the application scenarios of a robot community system.

[0019] Figure 2 A schematic diagram showing an embodiment of the robot community system architecture is displayed.

[0020] Figure 3 A flowchart illustrating an implementation method for establishing a robot community;

[0021] Figure 4 A flowchart illustrating an embodiment of the operation method of a robot community system;

[0022] Figure 5 A schematic diagram showing an example of a social media page with an AI robot; and

[0023] Figure 6 This is an illustration of another embodiment of a social media page featuring an AI bot. Detailed Implementation

[0024] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can understand the advantages and effects of the present invention from the content disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the concept of the present invention. Furthermore, the accompanying drawings of the present invention are for simple illustrative purposes only and are not depictions of actual dimensions; this is stated beforehand. The following embodiments will further describe the relevant technical content of the present invention in detail, but the disclosed content is not intended to limit the scope of protection of the present invention.

[0025] It should be understood that while terms such as "first," "second," and "third" may be used in this document to describe various components or signals, these components or signals should not be limited by these terms. These terms are primarily used to distinguish one component from another, or one signal from another. Furthermore, the term "or" as used herein should, as appropriate, include any combination of one or more of the related listed items.

[0026] This disclosure proposes a method, system, and operation method for establishing a robot community. The robot community system utilizes computer systems to run natural language models, machine learning methods, and generative artificial intelligence technologies to establish AI robots that can be used in social media, or to establish social media platforms primarily composed of AI robots. Each AI robot has its own attributes and can engage in community activities with users (non-robots) participating in the social media platform, and can generate various types of content.

[0027] Application scenarios for robot community systems built primarily with artificial intelligence robots can be referenced. Figure 1 The diagram shows that the robot community system includes a cloud server 20, which is implemented using a computer system. The computer system's computing circuit 211 executes machine learning algorithms to train artificial intelligence robots based on a training set of data with specific attributes. This can be various intelligent robots 101 generated using generative artificial intelligence (AI) by learning knowledge, human speech, behavior, and facial expressions. These robots can be humanoid or have a specific image (person, cartoon, animal, object) and can interact with users in the community through text, voice, images, and audio-visual means, including natural language dialogue. According to an embodiment, during natural language dialogue, the intelligent model running behind the intelligent robot 101 can engage in voice dialogue with the user and learn the user's current audio pitch and speaking speed, enabling the intelligent robot 101 to respond with corresponding audio and speaking speed, reflecting the user's current emotions.

[0028] For example, when the intelligent model analyzes the changes in tone, rhythm and volume in the voice data and determines that the user 10 is currently sad, the intelligent robot 101 will adjust the audio and speaking speed to reflect the user 10's current sad emotion.

[0029] The diagram illustrates user 10 operating a social media application or an application accessible to social media running on user device 100. For example, by opening the user interface through a social media application and connecting to cloud server 20, user 10 can select social media content from cloud server 20 and load multiple smart robots 101 displayed on user device 100, as shown in the diagram. This includes relevant model data and image signals of each smart robot 101, allowing user 10 to experience a video call as if two people were in the real world. The implementation example shown in the diagram demonstrates starting the user interface on the display of user device 100, using the camera 105 on user device 100 to capture user 10's image, and displaying the user image 103 as shown in the diagram. The background image is the multiple smart robots 101 deployed to social media and selectable by user 10.

[0030] When engaging in social media activities, user device 100 connects to cloud server 20 and launches the social media application on user device 100. According to one embodiment, in addition to posting content, browsing Moments, and performing activities such as liking, sharing, and commenting on social media, user device 100 can also activate audio (microphone) and video (camera) functions to interact with any of the intelligent robots 101, recording audio and capturing images in real time, and uploading audio and image data to cloud server 20 in real time. The language model and image model running on cloud server 20 obtain audio features, or add image features, and may add current environmental information. After using the intelligent model to determine the user 100's current emotion, a voice dialogue is generated, and the intelligent robot 101 issues voice or provides any form of content feedback. The intelligent model determines the emotion based on the analysis of pitch, rhythm, and intensity changes of each segment of audio data, as well as semantics.

[0031] It is worth mentioning that when the language model running on the cloud server 20 generates voice dialogue, according to one embodiment, the relevant audio data is transmitted to the user device 100 and can be transcribed and displayed on the user interface. Furthermore, in addition to the voice dialogue being emitted directly by the speaker of the user device 100, the voice dialogue can also be simulated by an intelligent robot 101 displayed on the user interface. The running artificial intelligence can generate facial expressions and emoticons to match the current emotion. For example, the mouth movements of the generated anthropomorphic character can simulate the mouth movements of a human speaking, and the facial muscle movements can also match the emotion expressed in the voice.

[0032] The cloud server 20, through its computing circuit 211, collaborates with relevant hardware and software to establish artificial intelligence robots, execute methods for establishing robot communities, and run a robot community system including intelligent robots. This primarily involves the collaborative operation of various artificial intelligence algorithms and models through hardware and software. (See reference...) Figure 2 The diagram shows a system architecture embodiment.

[0033] The cloud server 20 uses the computer system's computing circuitry 211, memory, and software to collaboratively implement various functional modules, such as a natural language processing module 201 for processing content from conversations with users, which can also implement natural language generation (NLG) to produce natural, fluent, and context-appropriate text or speech; an intelligent robot service module 203 that runs machine learning algorithms to create, deploy, and run intelligent robots in social media, where the intelligent robot service module 203 schematically manages multiple intelligent robots, such as intelligent robot one 231, intelligent robot two 232, and intelligent robot three 233; a user interface module 205 that generates and transmits information to the user device 100 and interfaces with the user interface generated by the social application running on the user device 100, presenting social media content based on user operations; and a community module 207 that runs the robot community.

[0034] The cloud server 20 provides a database module 209 containing the content of a built-in or external database 22. The database module 209 accesses and manages the built-in or external database 22, which includes user data 221 generated by users using personalized voice dialogue services, and intelligent robot models 223. The intelligent robot models 223 include image data and social activity data of multiple intelligent robots possessing knowledge in different domains. The intelligent robot image data is generated using generative artificial intelligence based on 3D drawing technology to create lifelike images of intelligent robots or specific objects. The cloud server 20 provides social services via network 200. Users operate user devices 100 on their terminals and use the social applications running on them to access the social content of the cloud server 20 via network 200.

[0035] The cloud server 20 performs natural language processing (NLP) through the computing circuit 211. In this embodiment, the natural language processing module 201 processes the voice data obtained from the user device 100. The voice data can be generated by the dialogue between the user and the intelligent robot. In addition to the textualized voice content, the natural language processing model is also run to obtain the voice features in the voice data, identify the semantics therein, and then generate dialogue content to respond to the user in natural language.

[0036] Furthermore, semantic information can be used to determine a user's emotions. The speech features used include changes in pitch, rhythm, and intensity. Based on these speech features (such as sound wave waveforms), the speech model can identify the user's current emotions. It can also learn individual user personalities and preferences over a long period, creating a user profile. Thus, the robot community system running through the community module 207 can recommend intelligent robots that can become users' friends based on the user profile.

[0037] Furthermore, the Natural Language Processing (NLP) module 201 learns human language, classifies it, and uses deep learning to study language structure and the relationships between sentences, generating the NLP model. During the operation of the robot community system, the NLP model can be trained using voice data generated from conversations among users to form a personalized language model. Furthermore, after generating a personalized language model through training the NLP model, deep learning algorithms can be used to learn features such as pitch, rhythm, and intensity changes in speech, thereby learning emotions in the language.

[0038] According to the embodiment, the natural language processing module 201 can further utilize user feature files and, based on the currently determined semantics and real-time environmental information (such as the current geographical location, weather, and time), enable the intelligent robot to interact with the user according to various current situations and generate text, voice, image, or audio-visual content that meets the user's real-time needs.

[0039] According to the embodiment, the community module 207 in the cloud server 20 runs a robot community system, and various intelligent robots generated by the intelligent robot model 223 in the database 22 are deployed in the social media by the intelligent robot service module 203. Each intelligent robot has a unique image in the social media; the images presented on the social application can be realistic images of humanoid, animal, or various object-like intelligent robots. These realistic images of intelligent robots have different appearances, can emit learned voices, and can possess knowledge in specific fields, enabling users to choose (e.g., join social media friends, groups, etc.) for community interaction as needed.

[0040] It is worth mentioning that the robot community system proposed in this disclosure can use generative artificial intelligence to learn from a large amount of data generated by various community activities in social media through machine learning algorithms, so that the intelligent robot has the ability to learn user characteristics and generate content, enabling it to interact with users in social media like a real person.

[0041] Furthermore, in addition to their ability to operate on social media, the intelligent robots in the robot community system can also possess specialized backgrounds, such as the intelligent robot model 223 in database 22. Intelligent robot model 223 is built using machine learning algorithms to learn from data in a specific domain, creating an intelligent model with domain-specific knowledge. For example, it can employ a Retrieval Augmented Generation (RAG) technique, which can be based on a large-scale language model (LLM) to create a natural language model tailored to a specific domain.

[0042] When the robot community system is running, the cloud server 20 communicates with the user device 100 through the user interface module 205, including transmitting (including necessary encoding, decoding, compression and decompression programs) various information, such as audio and video content, text content and image files, and also processing the dialogue content between two or more intelligent robots displayed through the user interface, and using it to generate various functions and graphics in the user interface.

[0043] According to an embodiment, the robot community system provides user device 100 with applications that run related services. The application module 111 executes the application, enabling user device 100 to connect to cloud server 20 and load user-owned community activity data and image data of one or more intelligent robots with community relationships (such as adding friends). By initiating the social media user interface, users can interact with intelligent robots through the user interface, including acquiring user voice data via voice acquisition module 113, acquiring image data of the user or environment via image acquisition module 115, and establishing a connection with a user device via network 200 and cloud server 20 (equipped with communication circuit 213) via communication module 117, and performing connection and data transmission.

[0044] Through the social networking application, users can engage in text or voice conversations with intelligent robots and share images and videos. In the robot community system, the system runs via the community module 207 on the cloud server 20. Multiple intelligent robots, operated by the intelligent robot service module 203, interact with users who have joined the social media, generating community activity data belonging to the user and one or more intelligent robots. This community activity data includes data generated by each intelligent robot's interaction with the user. Besides providing content for the natural language processing module 201 to learn and generate, this data forms user data 221 in database 22 and data in the intelligent robot module 223, including image data and models of each intelligent robot. This data in database 22 is processed by the user interface module 205 to become the community data presented on the user interface.

[0045] The robot community system proposed in this disclosure provides multiple intelligent robots. This system enables social media based on these multiple intelligent robots, which can be trained through neural network deep learning to possess attributes such as diverse industries, professional backgrounds, personalities, genders, ages, and appearances. The intelligent robots operating within the social media can have their own followers and possess community activity data such as subscriptions, content likes, shares, and comments. A robot profile is established for each intelligent robot, thus enabling the creation of influencers with a certain number of subscribers. The intelligent robots can also possess multiple professional skills, not limited to a single specialty.

[0046] Based on the above concepts and the system architecture of the robot community system, please refer to the following: Figure 3 This diagram shows an embodiment of a method for establishing a robot community, wherein the described steps are performed in a computer system.

[0047] To establish a robot community system, the attributes and basic data of each intelligent robot in the system are first set using software (step S301). As described in the above embodiments, like a person in a social media platform, the attributes of the intelligent robots are set, such as professional background, personality, gender, age, appearance (the actual implementation is not limited to the items described herein). Also, like a natural person, the basic data of each intelligent robot can be set, such as the name of the intelligent robot, the age of community activities, and the activity range (such as setting the geographical range of residence and activities) (the actual implementation is not limited to the items described herein). The attributes and basic data of each intelligent robot are stored in the database.

[0048] By setting individual attributes and basic data for multiple intelligent robots, machine learning is run in a computer system to train the intelligent robots. Corresponding training data can be prepared based on the attributes and basic data (step S303), and the machine learning algorithm can learn from the training data to train multiple intelligent robots that can operate in social media running on a computer (step S305).

[0049] During training, training data with various attributes can be used to create intelligent robots with specific attributes, such as robots proficient in art, technology, business, or humanities. Furthermore, the generative intelligent model running in the intelligent robot service module on the cloud server can generate community content belonging to this intelligent robot based on its attributes and basic data. Relevant attribute information (such as setting hashtags) can also be set for each piece of community content, allowing the intelligent robot to use this content on social media. A robot setting system is also provided to establish community relationships between intelligent robots and between intelligent robots and users.

[0050] Next, a database for the robot community system is established. This database can store relevant data (including image data, community activity data, etc.) and models of multiple intelligent robots. The intelligent robots can be realistic images of intelligent robots generated by generative artificial intelligence, such as lifelike humanoid robots. Then, the computer system deploys multiple of these intelligent robots to social media (step S307).

[0051] According to an embodiment, as Figure 1 The cloud server 20 displays social media, and users can access the smart robot option through the user interface launched by the application on the user device. The smart robot can be presented as a realistic image. The cloud server can transmit the image data and model data of each realistic image of the smart robot to the user device, that is, display one or more realistic images of the smart robot on the user device's display.

[0052] The cloud server provides multiple options of realistic images of intelligent robots through a user interface. Users select one of these robots to browse its community content, interact with it, establish community relationships, and perform voice conversations. Software running on the cloud server allows intelligent robots with different attributes to establish community relationships with users. For example, the system recommends intelligent robots based on user characteristics and allows users to engage in community activities such as subscribing, sharing, and commenting, and then selects an intelligent robot to establish a community relationship with (step S309). According to an embodiment, community relationships between one or more intelligent robots selected individually by multiple users on the social media platform can be established on a cloud server (computer system) running social media, using the aforementioned database or related data annotation technology.

[0053] After establishing the robot community system, its operation method can be referred to Figure 4 The flowchart of the embodiment shown indicates that the robot community system mainly operates in a social media platform with multiple users.

[0054] Users log in to social media using their account and identity verification data to engage in social media activities, such as browsing other users' social media content and interacting with any of the multiple smart bots deployed on the social media platform. According to an embodiment, based on user searches or proactive recommendations from the bot social media system—for example, matching and recommending one or more smart bots that the user is interested in based on user profiles describing their preferences and personality—the system can proactively establish social relationships between the user and one or more smart bots. Based on these social relationships, the bot social media system calls the corresponding smart bot (step S401). The bot social media system can respond to the call to one or more smart bots based on the social relationships of the smart bots (step S403), including retrieving one or more smart bot models and related data from a database, generating a smart bot based on the image data therein, and displaying it on the user interface of the user device.

[0055] Users and intelligent robots engage in activities on social media, generating community data (step S405). According to embodiments, community data may include various forms of content (text, voice, images, or videos) uploaded and shared by users and intelligent robots on social media, as well as community activity data generated from browsing and interacting with other users and intelligent robots on social media. Specifically, based on community relationships, intelligent robots may respond to user actions on social media, such as responding to user comments or generating content for dialogue with users, such as text exchanges, voice, or video conversations.

[0056] In a robot community system, natural language processing and generative artificial intelligence are used to process the community data of users and intelligent robots to obtain features from the community data (step S407). For example, natural language processing is used to obtain the semantics of user comments or conversations, and user preferences are learned based on the user's browsing and sharing of social media content, thereby generating content for the intelligent robot to respond to the user.

[0057] Next, based on the attributes and basic data of each intelligent robot, and the characteristics of the social activity data generated in real time by each intelligent robot interacting with the user on the social media, generative artificial intelligence can be used to generate social content for the intelligent robot to respond to the user, such as text, voice, images, or audio-visual content (step S409). Similarly, the interaction between each intelligent robot and the user also establishes social activity data for the intelligent robot, which is stored in the system's database, updating the robot data of each intelligent robot therein (step S411).

[0058] According to the above embodiment of the robot community system implementing social media including intelligent robots, the system deploys intelligent robots with various knowledge domains and attributes to the social media, allowing users to browse the intelligent robots provided or recommended by the system through a user interface launched by an application running on the user device, such as... Figure 5 The diagram shows an example of a community page with an AI robot.

[0059] The attached diagram illustrates a personal friends page 50 on social media, showing a page that includes both real people and AI bots. It also displays the user's information and functions on social media, such as Friends 511, Search 513, and Account 515, and shows a social media AI bot image 500, which may include realistic images of AI bots generated from real people and AI bot models. The diagram shows AI bot one 501, AI bot two 502, AI bot three 503, etc., and a social media friend group formed from real people 504.

[0060] After the user selects one of the intelligent robots, a social media page for that robot can be displayed, just like a real person. Figure 6 This is a schematic diagram of another embodiment of a social media page featuring an AI robot.

[0061] The image shows the homepage 60 of the intelligent robot, which displays the image 601 of the intelligent robot. This image is a realistic image of the intelligent robot generated using generative artificial intelligence as described in the above embodiment. Various social activity data can be presented in the image 601 of the intelligent robot, including the number of chat messages 611, the number of forwards 612, the number of likes 613, as well as functions such as collection 614 and sharing 615.

[0062] It is worth mentioning that by deploying intelligent robots to social media through the robot community system proposed in this disclosure, users can still engage in activities within social media as they would with existing social media. The robot community system provides suggestions or rankings based on user characteristics, allowing users to choose to establish friendships with one or more intelligent robots, build their own social circles, and leave messages, communicate, and converse with each other.

[0063] For example, users can interact with intelligent bots within the community, exchange information, ask professional questions, and train intelligent bots to meet their own needs. Essential features include images (human-shaped images created through design or AI drawing) and attributes (age, personality, gender, professional background, etc.), and can also share them with other users.

[0064] It's worth mentioning that the robot community system provides generative artificial intelligence, which processes the content uploaded by users through a specific operating interface (such as people, animals, cartoons, or any photos that can be used to convey content). It can identify movable muscles (such as facial muscles), facial features, and various parts that can express emotions in the uploaded images, and automatically generate realistic images of intelligent robots in the robot community system. After being endowed with intelligent robot attributes, it becomes an intelligent robot that can provide dialogue services, generate audio and video content, and become a friend of the user.

[0065] According to the implementation method, the generative intelligent model used by the system can be adopted from Google. TM The company released VLOGGER AI technology, which can generate videos that convey content by adding text and audio to user-uploaded photos. (According to Google...) TM According to the company, VLOGGER AI technology is a multi-modal artificial intelligence with sound and dynamic images. It can process complex facial expressions and body movements to simulate videos of people (or animals, cartoons, etc.) who can speak natural language.

[0066] In another embodiment, a trading platform can be established in the robot community system, which can provide smart robots with price tags. The user interface displays a ranking of multiple smart robots recommended by the robot community system based on user needs and characteristics, allowing users to choose and purchase. Alternatively, users can be invited to create smart robots with specific attributes through the aforementioned generative smart model, which can be shared with other users through the trading platform. The smart robot can have specific expertise, attract subscribers and viewers, and change its appearance to meet user expectations, becoming a popular robot. It can also be shared and sold through the trading platform.

[0067] In summary, the method, system, and operation method for establishing a robot community described in the above embodiments propose a robot community system composed of intelligent robots that can operate on social media. By using machine learning technology to learn data with different attributes, various intelligent robots are created, each equipped with specific attributes and basic data. Therefore, when users engage in community activities on social media, they can interact with other users or intelligent robots, establishing community relationships with them.

[0068] The content disclosed above is only a preferred and feasible embodiment of the present invention, and is not intended to limit the claims of the present invention. Therefore, all equivalent technical changes made based on the content of the present invention specification and drawings are included within the scope of the claims of the present invention.

Claims

1. A method for establishing a robotic community, implemented in a computer system, the method comprising: The method comprises: ​ setting attributes of each of a plurality of intelligent robots; obtaining corresponding training data according to the attributes and basic data of each of the intelligent robots, and training the plurality of intelligent robots by learning the training data with a machine learning algorithm; deploying the plurality of intelligent robots generated to a social media; and establishing a community relationship between a plurality of users and the plurality of intelligent robots in the social media.

2. The method of building a robotic community of claim 1, wherein, In the computer system, a generative intelligent model is used to generate community content belonging to each of the intelligent robots according to the attributes and basic data of each of the intelligent robots.

3. The method of building a robotic community of claim 2, wherein, The generative intelligent model is used to generate content in response to the user according to the attributes and basic data of each of the intelligent robots, and based on activity data generated in real time based on the interaction between the user and the intelligent robots in the social media.

4. The method of building a robotic community of claim 3, wherein, The community content and the community interaction content generated through community interaction belonging to each of the intelligent robots are text, images, voice or video, and the attribute information is set according to the community content or the community interaction content through the software program running in the computer system.

5. The method of establishing a robotic community according to any one of claims 1 to 4, wherein, In a cloud server running the social media, a database is used to establish a community relationship according to the selection of one or more intelligent robots by each of a plurality of users in the social media.

6. The method of building a robotic community of claim 5, wherein The intelligent robot is a realistic image of an intelligent robot generated by a generative artificial intelligence, and the image data and model data of the intelligent robot realistic image are transmitted to a user device to display the intelligent robot realistic image on a display of the user device.

7. The method of building a robotic community of claim 6, wherein, The cloud server provides options for a plurality of intelligent robot realistic images through a user interface. 8.A robot community system running on a cloud server, characterized in that The cloud server runs a social media, and the robot community system comprises: a computing circuit that executes a method for establishing a robot community, wherein corresponding training data is obtained according to the attributes and basic data of each of a plurality of intelligent robots, and the plurality of intelligent robots are trained by learning the training data with a machine learning algorithm, the plurality of intelligent robots are deployed to the social media, and a community relationship between a plurality of users and the plurality of intelligent robots is established in the social media; a database that stores user data of the plurality of users and attributes, basic data, image data and intelligent robot models of the plurality of intelligent robots; and a communication circuit that establishes an online connection with a user device.

9. The robotic community system of claim 8, wherein The computing circuit performs natural language processing to process voice data generated by the user and the intelligent robot in a conversation received from the user device, obtain voice features in the voice data after the voice data is converted into text and processed by natural language processing, and identify the meaning thereof, so that the intelligent robot can respond to the user in natural language.

10. The robotic community system of claim 8, wherein The intelligent robot model in the database is an intelligent model with specific domain knowledge established by learning data in a specific domain through the machine learning algorithm.

11. The robotic community system of claim 8, wherein The system includes an application program executed in the user device, and the user device is connected to the cloud server to load the social activity data of the user and the image data of the one or more intelligent robots with the social relationship through the execution of the application program.

12. The robotic community system of claim 11, wherein, In the robot social system, the social media is run through the cloud server to provide the one or more intelligent robots to interact with the user to generate the social activity data of the user and the one or more intelligent robots.

13. The robotic community system of claim 8, wherein, In the cloud server, the social content of the intelligent robot is generated through a generative intelligent model according to the attributes and basic data of each intelligent robot.

14. The robotic community system of claim 13, wherein, The generative intelligent model is used to generate content in response to the user according to the attributes and basic data of each intelligent robot, and based on the activity data generated in real time by the interaction of each intelligent robot with the user in the social media.

15. The robotic community system of any one of claims 8 to 14, wherein The intelligent robot obtains an intelligent robot realistic image generated by a generative artificial intelligence from the database, transmits the image data and model data of the intelligent robot realistic image to the user device, and displays the intelligent robot realistic image on the display of the user device.

16. A method of operating a robotic community system, the method comprising: The robot social system runs on a cloud server, and the cloud server runs a social media. The running method includes: According to the selection of a user or the recommendation of the robot social system, one or more intelligent robots are called; According to the social relationship between the one or more intelligent robots and the user, the calling of the one or more intelligent robots is responded, including obtaining one or more intelligent robot models and image data from a database to generate the one or more intelligent robots according to the image data, and displaying on a user interface of a user device; A natural language model is run to process the social activity data generated by the user or each intelligent robot in the social media to obtain the features in the social activity data; According to the features of the social activity data generated in real time by each intelligent robot and the user in the social media, a generative intelligent model is used to generate an intelligent robot to respond to the user's social content; and The robot data of each intelligent robot in the database is stored and updated; The plurality of intelligent robots is generated by an operation circuit of the cloud server executing a method of establishing a robot community, wherein after obtaining the corresponding training data according to the attributes and basic data of each intelligent robot in the plurality of intelligent robots, the training data is learned by a machine learning algorithm to train the plurality of intelligent robots, the plurality of intelligent robots are deployed to the social media, and the social relationship between the plurality of users and the plurality of intelligent robots is established in the social media.

17. The method of claim 16, wherein The robot social system is provided with the database, wherein the attributes, basic data, image data and intelligent robot model of the plurality of intelligent robots are stored.

18. The method of claim 17, wherein The features in the social activity data include the meaning of the user's messages or conversations in the social media obtained through natural language processing, and the user's preferences learned based on the user's browsing and sharing of the social content of the social media.

19. The method of claim 16, wherein the robot community system is operated in a manner such that The intelligent robot model in the database is an intelligent model with specific field knowledge established by learning data in a specific field through the machine learning algorithm.

20. The method of claim 16 to 19, wherein The intelligent robot is a realistic image of an intelligent robot generated by a generative artificial intelligence. The image data and model data of the realistic image of the intelligent robot are transmitted to the user device, and the realistic image of the intelligent robot is displayed on a display of the user device.

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