Meal delivery method, device and equipment based on split robot and medium
The cloud system automatically determines and directs food delivery robots, which solves the inefficiency problem caused by existing food delivery robots' reliance on manual interaction and realizes the automation and efficient distribution of food delivery tasks.
Patent Information
- Application Number
- CN202310887299.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-18
- Publication Date
- 2025-01-21
- Estimated Expiration
- 2043-07-18
AI Technical Summary
The existing food delivery robots rely on manual interactions to perform food delivery tasks, resulting in inefficiency and inability to achieve automated delivery, increasing the cost of food delivery time.
Through the cloud system, the target robot is determined based on the meal delivery prompts from the kitchen, and delivery task instructions are sent to it. The delivery status is monitored and the meal status is fed back, thereby achieving connectivity and automated delivery between the target robot and the kitchen.
It reduces manual intervention in food delivery tasks, improves food delivery efficiency, shortens food delivery time and costs, and achieves autonomous and efficient delivery of target robots.
Smart Images

Figure CN119328737A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a meal delivery method, device, equipment and medium based on a split robot. Background Art
[0002] At present, food delivery robots often perform food delivery tasks based on independent systems. They rely on manual input of the destination address on the human-machine interaction interface of the food delivery robot, and rely on the manual input of the dishes in the food delivery robot to control it to move to the destination address. It can be seen that the entire process of food delivery robots in the prior art performing food delivery tasks is relatively mechanized, and completely relies on manual interaction to perform subsequent delivery tasks, which is equivalent to the application of delivery robots in restaurant scenarios, and has not produced a significant effect in improving delivery efficiency. Therefore, how to realize the automated execution of food delivery tasks by food delivery robots, improve the connectivity between food delivery and food preparation, reduce manual intervention, and shorten the time cost of the food delivery process has become an urgent problem to be solved. Summary of the invention
[0003] The present invention provides a meal delivery method, device, equipment and medium based on a split robot, which solves the problem of information asymmetry between the target robot and the kitchen during meal delivery and improves meal delivery efficiency.
[0004] According to a first aspect of the present invention, a meal delivery method based on a split robot is provided, the method comprising:
[0005] The cloud determines the target robot to perform the delivery task based on the kitchen's food delivery prompts;
[0006] The cloud sends an instruction to the target robot to execute the delivery task;
[0007] The cloud monitors the delivery status of the target robot and feeds back the food status to the kitchen.
[0008] According to a second aspect of the present invention, there is provided a meal delivery device based on a split robot, the device comprising:
[0009] The determination module is configured to determine the target robot to perform the delivery task based on the kitchen's meal delivery prompts in the cloud;
[0010] A sending module, configured to send an instruction for executing the delivery task from the cloud to the target robot;
[0011] The monitoring module is configured to monitor the delivery status of the target robot in the cloud and feedback the food status to the kitchen.
[0012] According to a third aspect of the present invention, there is provided an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor implements the food delivery method based on a split robot as described in any embodiment of the present invention.
[0013] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, wherein the computer instructions are used to cause the computer to execute the meal delivery method based on a split robot as described in any embodiment of the present invention.
[0014] The present invention discloses a meal delivery method, device, equipment and medium based on a split robot. The method comprises: the cloud determines the target robot to perform the delivery task according to the meal delivery prompt of the kitchen; the cloud sends an instruction to the target robot to perform the delivery task; the cloud monitors the delivery status of the target robot and feeds back the meal status to the kitchen. According to the embodiment of the present invention, according to the information interaction between the cloud and the kitchen system and the target robot respectively, not only the connection between the target robot and the kitchen is realized, but also the degree of manual intervention of the target robot in performing the task to be delivered is reduced; and the target robot is able to autonomously and efficiently deliver dishes, which greatly improves the meal delivery efficiency and shortens the meal delivery time cost.
[0015] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0017] Figure 1 is a schematic diagram of an application scenario in which the meal delivery method based on a split robot according to an embodiment of the present invention can be implemented;
[0018] Figure 2 is a schematic flow chart of a meal delivery method based on a split robot provided according to an embodiment of the present invention;
[0019] Figure 3 is a structural schematic diagram of a meal delivery device based on a split robot provided according to an embodiment of the present invention;
[0020] Figure 4 It is a block diagram of an electronic device used to implement the meal delivery method based on a split robot according to an embodiment of the present invention. DETAILED DESCRIPTION
[0021] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.
[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0023] Figure 1 A schematic diagram of an application scenario of a split robot-based food delivery method that can implement an embodiment of the present invention is provided. Figure 1 As shown, the computing device 110 can realize that the cloud determines the target robot that performs the delivery task according to the kitchen's meal delivery prompt; the cloud sends an instruction to the target robot to perform the delivery task; the cloud monitors the delivery status of the target robot and feeds back the food status to the kitchen.
[0024] The target robot in the embodiment of the present invention has a built-in organic code scanning gun for identifying the target order corresponding to the meal, parsing the order identifier in the target order according to the cloud, determining the table number corresponding to the order identifier, and moving according to the destination address corresponding to the table number to complete the delivery task. The target robot can be configured as a split robot including a chassis and an upper cabin. It is worth noting that: Figure 1 The application scenario shown is an example of the meal delivery method based on the split robot according to the embodiment of the present invention, but it is not limiting.
[0025] It should be noted that the above-mentioned computing device 110 can be hardware or software. When the computing device 110 is hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or it can be implemented as a single server or a single terminal device. When the computing device 110 is embodied as software (for example, a program or system for controlling a robot), it can be installed in the hardware devices listed above. It can be implemented as multiple software or software modules for providing distributed services, for example, or it can be implemented as a single software or software module. No specific limitation is made here.
[0026] It should be understood that Figure 1 The number of computing devices in the embodiment is only illustrative. Any number of computing devices may be provided according to implementation requirements.
[0027] Embodiment 1
[0028] According to an embodiment of the present application, a food delivery method based on a split robot is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that here. Figure 2 As shown, the meal delivery method based on the split robot includes the following steps: S210, S220 and S230.
[0029] S210. The cloud determines the target robot to perform the delivery task based on the food delivery prompt from the kitchen.
[0030] Optionally, the target robot includes a robot body and a robot chassis, the robot body is used to identify identification information corresponding to the order in which the dish is located, and the robot chassis is used to lift the food rack. The identification information includes but is not limited to QR code information and bar code information.
[0031] Furthermore, the target robot scans the identification information to obtain the table number and the dishes to be delivered corresponding to the order; the robot body sends a call instruction to the robot chassis according to the scanning result of the order; the robot chassis moves to the kitchen according to the call instruction, and lifts the dining rack to move it to the dining table.
[0032] S220: The cloud sends an instruction to the target robot to execute the delivery task.
[0033] S230: The cloud monitors the delivery status of the target robot and feeds back the food status to the kitchen.
[0034] Optionally, the user creates an order based on the identification information on the table, and the order is associated with a unique table number, including the dish information and remarks information ordered by the user.
[0035] As an optional implementation, the identification information on the table is the QR code information corresponding to the table. The user scans the QR code information through the client device to obtain the menu and order dishes. After the user completes and confirms the order, the cloud generates an order based on the user's order information. The order records the order information of the user at the corresponding table position through the QR code information. The order information includes dish information and notes such as dietary taboos and precautions.
[0036] Furthermore, after the cloud receives the order, the meal information included in the order is sent to the kitchen, and the meal information includes the dish information and the remark information.
[0037] It should be noted that: the meal information may include one or more dish information and its corresponding remark information; the dish information corresponds to the quantity and type of a single dish.
[0038] Furthermore, the kitchen displays the received meal information on the screen and prints a target order including a dish list and an order identifier; places the prepared dishes and the target order on a dining rack, and waits for the target robot.
[0039] Exemplarily, the target order displays the dish list and the QR code information of the order, wherein the QR code information of the order is the order identifier. The dishes prepared by the kitchen, that is, the dishes that have been served, are placed on the food rack, and the target robot can use its chassis to lift the food rack to deliver the dishes.
[0040] Optionally, after the robot chassis has finished delivering the food, the robot chassis is removed from the empty food rack according to the delivery status of the target robot.
[0041] Exemplarily, when the delivery status of the target robot is successful delivery, the dishes on the dining rack have been placed on the table with the corresponding table number, the dining rack is in an empty state, and the robot chassis is controlled to move out of the empty dining rack.
[0042] Optionally, the delivery status of the target robot includes delivering, successful delivery, and failed delivery. The food status includes successfully delivered food, about to be delivered, and returned food.
[0043] The present invention discloses a meal delivery method based on a split robot. The method comprises: the cloud determines the target robot that performs the delivery task according to the meal delivery prompt of the kitchen; the cloud sends the instruction to perform the delivery task to the target robot; the cloud monitors the delivery status of the target robot and feeds back the meal status to the kitchen. According to the embodiment of the present invention, according to the information interaction between the cloud and the kitchen system and the target robot respectively, not only the connection between the target robot and the kitchen is realized, but also the degree of manual intervention of the target robot in performing the task to be delivered is reduced; and the target robot is able to autonomously and efficiently deliver dishes, which greatly improves the meal delivery efficiency and shortens the meal delivery time cost.
[0044] Embodiment 2
[0045] According to an embodiment of the present invention, a schematic diagram of a structure of a meal delivery device based on a split robot is provided. The device can execute the meal delivery method based on a split robot provided in the first embodiment above. Figure 3 As shown, the device includes: a determination module 310, a sending module 320 and a monitoring module 330. Among them:
[0046] The determination module 310 is configured to determine the target robot to perform the delivery task based on the kitchen's meal delivery prompts in the cloud.
[0047] The sending module 320 is configured to send an instruction for executing the delivery task from the cloud to the target robot.
[0048] The monitoring module 330 is configured to monitor the delivery status of the target robot in the cloud and feedback the food status to the kitchen.
[0049] Optionally, the device further includes: a creation module configured to enable a user to create an order based on identification information on a table, wherein the order is associated with a unique table number and includes information about dishes ordered by the user and remarks.
[0050] Furthermore, the device also includes: a synchronization module, which is configured to send the food information included in the order to the kitchen after the order is received in the cloud, and the food information includes the dish information and the remark information.
[0051] Optionally, the device also includes: a display module, configured so that the kitchen will display the received food information on a screen and print a target order including a dish list and an order identification; or configured to place the prepared dishes and the target order on a dining rack and wait for the target robot.
[0052] The present invention discloses a meal delivery device based on a split robot. The device comprises: a determination module, configured to determine a target robot for performing a delivery task according to a meal delivery prompt from a kitchen on the cloud; a sending module, configured to send instructions for performing the delivery task to the target robot from the cloud; and a monitoring module, configured to monitor the delivery status of the target robot from the cloud and feedback the meal status to the kitchen. According to the embodiment of the present invention, according to the information interaction between the cloud and the kitchen system and the target robot respectively, not only the connection between the target robot and the kitchen is realized, but also the degree of manual intervention of the target robot in performing the task to be delivered is reduced; and the target robot is able to autonomously and efficiently deliver dishes, which greatly improves the meal delivery efficiency and shortens the meal delivery time cost.
[0053] Embodiment 3
[0054] Reference below Figure 4 , which shows a block diagram of an electronic device 400 suitable for implementing an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.
[0055] like Figure 4 As shown, the electronic device 400 may include a processing device 410, which may perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 420 or a program loaded from a storage device 480 into a random access memory (RAM) 430. The processing device 410 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processing device 410 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processing device 410 performs the various methods and processes described above.
[0056] In the RAM 430, various programs and data required for the operation of the electronic device 400 are also stored. The processing device 410, the ROM 420, and the RAM 430 are connected to each other through a bus 440. An input / output (I / O) interface 450 is also connected to the bus 440.
[0057] Typically, the following devices may be connected to the I / O interface 450: an input device 460 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 470 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 480 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 490. The communication device 490 may allow the electronic device 400 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 4 The electronic device 400 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.
[0058] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through a communication device 490, or installed from a storage device 480, or installed from a ROM 420. When the computer program is executed by the processing device 410, the above functions defined in the method of the embodiment of the present invention are executed. Alternatively, in other embodiments, the processing device 410 can be configured to execute the method in any other appropriate manner (for example, by means of firmware): the cloud determines the target robot to perform the delivery task according to the kitchen's meal delivery prompt; the cloud sends an instruction to the target robot to perform the delivery task; the cloud monitors the delivery status of the target robot and feeds back the food status to the kitchen.
[0059] Embodiment 4
[0060] The computer-readable medium of the present invention can be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.
[0061] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.
[0062] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.
[0063] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: determines the target robot to perform the delivery task based on the kitchen's meal delivery prompt; the cloud sends an instruction to the target robot to perform the delivery task; the cloud monitors the delivery status of the target robot and feeds back the food status to the kitchen.
[0064] Computer program code for performing the operations of the present invention may be written in one or more programming languages or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0065] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0066] The modules involved in the embodiments of the present invention may be implemented by software or hardware, wherein the name of a module does not limit the module itself in some cases.
[0067] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip systems (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof, etc.
[0068] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.
[0069] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
[0070] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).
[0071] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.
[0072] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services. The server may also be a server of a distributed system, or a server combined with a blockchain.
[0073] Artificial intelligence is a discipline that studies how to use computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.). It includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, machine learning / deep learning technology, big data processing technology, knowledge graph technology, and other major directions.
[0074] Cloud computing refers to a technology system that uses network access to elastically scalable shared physical or virtual resource pools. Resources can include servers, operating systems, networks, software, applications, and storage devices, and can be deployed and managed on demand and in a self-service manner. Cloud computing technology can provide efficient and powerful data processing capabilities for technical applications such as artificial intelligence and blockchain, as well as model training.
[0075] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution provided by the present invention can be achieved, and this document does not limit this.
[0076] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims
1. A meal delivery method based on a split robot, characterized in that: The method comprises: The cloud determines the target robot to perform the delivery task based on the kitchen's food delivery prompts; The cloud sends an instruction to the target robot to execute the delivery task; The cloud monitors the delivery status of the target robot and feeds back the food status to the kitchen.
2. The method according to claim 1, characterized in that Also includes: The user creates an order based on the identification information on the table. The order is associated with a unique table number and includes the dish information and remarks information ordered by the user.
3. The method according to claim 2, characterized in that Also includes: After the cloud receives the order, the meal information included in the order is sent to the kitchen, where the meal information includes the dish information and the remark information.
4. The method according to claim 3, characterized in that Also includes: The kitchen displays the received meal information on a screen and prints a target order including a dish list and an order identifier; Place the prepared dishes and the target order on the food rack and wait for the target robot.
5. The method according to claim 1, characterized in that: The target robot includes a robot body and a robot chassis, the robot body is used to identify identification information corresponding to the order in which the dish is located, and the robot chassis is used to lift the dining rack.
6. The method according to claim 5, characterized in that The method comprises: The target robot scans the identification information to obtain the table number corresponding to the order and the dishes to be delivered; The robot body sends a call instruction to the robot chassis according to the scanning result of the order; The robot chassis moves to the kitchen according to the calling instruction, and lifts the dining rack to move it to the dining table.
7. The method according to claim 6, characterized in that When the robot chassis has finished delivering the food, the robot chassis is removed from the empty food rack according to the delivery status of the target robot.
8. The method according to claim 1, characterized in that: The delivery status of the target robot includes delivering, successful delivery and failed delivery.
9. The method according to claim 1, characterized in that: The food status includes food delivery success, food delivery imminent, and food order return.
10. A food delivery device based on a split robot, characterized in that: The device comprises: The determination module is configured to determine the target robot to perform the delivery task based on the kitchen's meal delivery prompts in the cloud; A sending module, configured to send an instruction for executing the delivery task from the cloud to the target robot; The monitoring module is configured to monitor the delivery status of the target robot in the cloud and feedback the food status to the kitchen.
11. The device according to claim 10, characterized in that The device also includes: a creation module, which is configured to enable a user to create an order according to identification information on a table, wherein the order is associated with a unique table number and includes information about dishes ordered by the user and remarks.
12. The device according to claim 11, characterized in that The device further includes: a synchronization module configured to send the meal information included in the order to the kitchen after the order is received in the cloud, wherein the meal information includes the dish information and the remark information.
13. The device according to claim 12, characterized in that The device also includes: a display module, configured so that the kitchen displays the received meal information on a screen and prints a target order including a dish list and an order identifier; or configured to place the prepared dishes and the target order on a dining rack and wait for the target robot.
14. An electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor implements the method as described in any one of claims 1-9.
15. A computer-readable storage medium, wherein: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-9.
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