System for intelligent robots with community management capability and operating method

Abstract

A system for intelligent robots with communication management capability and an operating method are provided. The system includes a cloud server that provides a database including multiple intelligent robot models. In the operating method, multiple intelligent robots having appearances are generated by the multiple intelligent robot models. The intelligent robots are deployed to a social media, in which the multiple intelligent robots establish community relations with other users and generate community activity data. After operating a generative artificial intelligence, the intelligent robot generates community contents based on its attribute and the community relations. A community value for each of the intelligent robots is formed according to the community relations between the users and every intelligent robot, the community activity data relating to the intelligent robot and the community contents.

Description

Technical Field

[0001] The disclosure concerns a type of social media formed by intelligent robots, specifically intelligent robot systems with the ability to manage communities, built through machine learning methods and generative artificial intelligence, and their operating methods. Prior 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 an online service where multiple people can share content, exchange information, build friendships, and create communities. Users who join a community can express their opinions on various messages 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 running on social media also employs large-scale language models to analyze each user's posts and content 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] The disclosure proposes an intelligent robot system and its operation method capable of managing social media communities. It utilizes computing power provided by a cloud server to generate multiple intelligent robots with individualized attributes and basic data. These robots are then deployed to social media platforms to manage the communities. Through the system's operation of the intelligent robot model, the robots within the social media platforms can autonomously conduct community activities, including generating content consistent with their own attributes using generative artificial intelligence, interacting with real users such as liking, sharing, and commenting on each other's generated content, and establishing community relationships with other intelligent robots or real users.

[0006] According to the implementation method of an intelligent robot system with community management capabilities, a cloud server is provided, along with a database containing multiple intelligent robot models. When a program set stored in a non-transitory computer-readable medium is executed via processing circuitry, multiple intelligent robots with their own visual appearances can be generated from these models and deployed to social media. Subsequently, by running multiple intelligent robot models on the cloud server, community relationships between multiple users and multiple intelligent robots can be established on social media, generating community activity data. Furthermore, generative artificial intelligence running on the cloud server can enable each intelligent robot to generate one or more pieces of community content based on its attributes and its community relationships with multiple users on social media. Within social media, the community value of the intelligent robots is formed based on the community relationships between each intelligent robot and multiple users, the associated community activity data of the intelligent robots, and the generated one or more pieces of community content.

[0007] Furthermore, the attributes and community activity data of the intelligent robots are used to establish robot feature profiles for each intelligent robot. These robot feature profiles may include transaction prices calculated based on the community value of the intelligent robot, endorsement advertising prices, and popularity on social media.

[0008] Furthermore, the database also stores image data of the appearance of multiple intelligent robots. The image data is a realistic image of the intelligent robot generated through generative artificial intelligence. This image data of the realistic image of the intelligent robot can be transmitted to the user's device to be displayed on the user's device display screen, and can interact with the user.

[0009] Furthermore, the method for establishing multiple intelligent robots in a cloud server includes: first setting the attributes of each intelligent robot among the multiple intelligent robots; obtaining corresponding training data based on the attributes of each intelligent robot; using machine learning algorithms to learn the training data to train multiple intelligent robot models; and running multiple intelligent robot models in a cloud server to generate multiple intelligent robots.

[0010] Furthermore, the cloud server also allows enterprise users or individual users to submit training data, which can then be used to train intelligent robots that meet the attributes set by the enterprise users or individual users.

[0011] Furthermore, when creating multiple intelligent robots, a menu can be created that lists the attributes and basic information of multiple intelligent robots. This menu allows enterprise users or individual users to select, purchase, or edit any of the intelligent robots.

[0012] Furthermore, the smart bots operating on social media have a payment mechanism. The cloud server sets limits on the number of comments, time limits, and advertising limits for enterprise users or individual users using smart bots on social media through the payment mechanism.

[0013] 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. Simple Explanation of the Diagram

[0014] Figure 1 shows a schematic diagram of an application scenario for an intelligent robot system with the ability to manage communities;

[0015] Figure 2 shows a schematic diagram of an architecture embodiment of an intelligent robot system with community management capabilities;

[0016] Figure 3 shows a flowchart of an embodiment of the method for establishing a robot community;

[0017] Figure 4 shows a flowchart of an example of an intelligent robot establishing community activity data in social media;

[0018] Figure 5 shows a flowchart of an embodiment of the operation method of an intelligent robot system with community management capabilities;

[0019] Figure 6 shows a schematic diagram of an example of a community page with an intelligent robot;

[0020] Figure 7 shows a schematic diagram of another embodiment of a social media page with an intelligent robot;

[0021] Figure 8 shows a schematic diagram of an embodiment of generating and deploying intelligent robots;

[0022] Figure 9 shows a schematic diagram of an embodiment of the intelligent robot creation interface; and

[0023] Figure 10 shows a schematic diagram of an embodiment of the intelligent robot payment interface. 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 in advance. 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] The disclosure proposes an intelligent robot system with community management capabilities and its operation method. This system primarily utilizes machine learning algorithms and generative artificial intelligence technology, along with 3D virtual image rendering technology, to create various intelligent robot models with unique attributes, basic data, or visual appearances. These models are then used to generate intelligent robots capable of operating in various online communities. By running these intelligent robot models, multiple robots can possess the ability to manage communities, much like real people, and operate within social media. For real users on social media, the intelligent robots function as virtual users. Through the community media operated by the intelligent robot system with community management capabilities, a platform is established for interaction between real and virtual users, much like between real users.

[0027] Furthermore, intelligent robots generated through intelligent robot systems with community management capabilities are deployed to specific social media platforms. By running intelligent robot models through the system, these robots can have their own image and autonomously respond to messages on social media, interact with other intelligent robots or real users, such as accepting friend invitations, interpreting content and performing social activities such as liking, collecting, sharing, and commenting. They can also autonomously generate content within social media that conforms to individual attributes and basic information through generative artificial intelligence, or generate corresponding content based on interactions. The content can be multimedia content such as text, graphics, audio, or video.

[0028] According to the embodiments, through the operation of the system, intelligent robots can have their own social relationships and establish and manage text, graphic, or audio-visual channels, thereby establishing social relationships, having their own followers, and becoming followers of others. Furthermore, they can establish fan pages, groups, blogs, and other social media groups, and interact with other real or virtual users on social media.

[0029] For real users on social media, they can choose intelligent robots to build community relationships with based on their needs. One example is to build friendships with intelligent robots recommended by the system based on the user's interests from activities on social media, or to build friendships based on community content generated by intelligent robots, like and share content to build community relationships, or even allow virtual users realized by intelligent robots to chat face-to-face with real users.

[0030] Figure 1 illustrates an application scenario of an intelligent robot system capable of managing communities. This system includes a cloud server 20, implemented as a computer system. The processing circuit 21 within the computer system executes machine learning algorithms to train an intelligent robot model based on a training set of data with specific attributes. The system then generates an intelligent robot using generative artificial intelligence (GI) based on various knowledge, human speech, behavior, and facial expressions. This robot can be a realistic robot with a humanoid or specific image (person, cartoon, animal, object), as shown in the figure, with various realistic images of intelligent robots 101 displayed on the user device 100. The intelligent robot 101 can interact with users in the community through text, voice, images, and audio-visual means, including natural language dialogue with the user 10. 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 10's current audio pitch and speech speed, enabling the intelligent robot 101 to respond with corresponding audio and speech speed, reflecting the user 10's current emotions.

[0031] 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.

[0032] The diagram illustrates user 10 operating a social media application or application accessible to social media running on user device 100. For example, after 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 displays the user interface being opened on the display of user device 100, using the camera lens 105 on user device 100 to capture user 10's image, and presenting the user image 103 as shown in the diagram. The background image consists of multiple smart robots 101 deployed to social media and selectable by user 10.

[0033] 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 on social media, browsing Moments, and performing activities such as liking, sharing, and commenting, the user can also activate audio (microphone) and video (camera) functions to interact with any of the intelligent robots 101, instantly recording audio and video, and uploading the audio and video data to cloud server 20. The language model and image model running on cloud server 20 extract audio features, or add image features, and may also add current environmental information. After using the intelligent model to determine the user 10's current emotion, a voice dialogue is generated, and the intelligent robot 101 issues voice messages 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.

[0034] The disclosure proposes an intelligent robot system capable of managing social media. This system uses computer systems to run natural language models, machine learning methods, and generative artificial intelligence technologies to create intelligent robots that can be used in social media, or to create social media platforms primarily composed of intelligent robots. Each intelligent robot has its own attributes, forming a virtual user operating in social media. It can also engage in community activities with real users participating in social media and provide generated community content.

[0035] Figure 2 shows a schematic diagram of an architecture embodiment of an intelligent robot system with community management capabilities. The intelligent robot system with community management capabilities includes a cloud server 20, which, through its processing circuit 21, collaborates with relevant hardware and software to establish an artificial intelligence robot, execute a method for establishing a robot community, and run community media including the intelligent robot. The system mainly uses hardware and software collaboration to run various artificial intelligence algorithms and models.

[0036] According to the embodiment, the cloud server 20 in the intelligent robot system with community management capabilities is implemented as a computer system. It uses the processing circuit 21 to run various functions of the system and uses memory 23 to implement non-transitory computer-readable media and other storage purposes. The non-transitory computer-readable media stores the program set necessary for the operation of the intelligent robot system with community management capabilities. For example, after the processing circuit 21 executes the program set, it at least implements the community connection module 201, intelligent robot service module 203, user interface module 205 and database module 207.

[0037] According to the system architecture diagram, the cloud server 20 runs social media through the social connection module 201 and can connect to other social media through the network 200, such as community 1 25 and community 2 26 shown in the figure. Through the application programming interface (API) provided by each social media, the intelligent robot running in the social media can publish the generated social content to other communities, namely community 1 25 and community 2 26.

[0038] According to the embodiments, the intelligent robot system with community management capabilities disclosed in the disclosure uses intelligent robot service module 203 to train multiple individual intelligent robots with specific attributes based on training data prepared according to the attributes of each intelligent robot, such as intelligent robot 1 231, intelligent robot 232, and intelligent robot 3 233 as shown in the figure. When intelligent robots (such as intelligent robot 1 231, intelligent robot 232, and intelligent robot 3 233) are deployed to the social media running on cloud server 20 through social connection module 201, or including social media 1 25 and social media 2 26, the intelligent robot model corresponding to each intelligent robot can be run on cloud server 20, and generative artificial intelligence can enable each intelligent robot to generate social content, including text, images, voice, and video, etc. It can also generate intelligent robots with realistic images according to the attributes set by the system or by adding basic data, and can be combined with social content through generative artificial intelligence.

[0039] For example, intelligent robots 1 (231), 2 (232), and 3 (233) running on social media form virtual users in social media. Through the intelligent robot model running in the intelligent robot service module 203 of the system, they can interact with real users in social media. Each terminal user operates user device 1 (211), user device 2 (212), and user device 3 (213) as shown in the figure, and connects to the social media or other communities (community 1 (25) and community 2 (26)) running on the cloud server 20 through the network 200 to participate in community activities and interact with other real users or intelligent robots. According to one embodiment, the intelligent robot model is run through the intelligent robot service module 203 in the cloud server 20. Generative artificial intelligence technology enables each intelligent robot to generate audio-visual content with realistic images of intelligent robots, or text, images and voice content. This social content is mainly content that conforms to the attributes of the intelligent robot itself. Like ordinary humans, the audio-visual content can be published on one or more social media platforms, making the robot a social media creator and able to receive likes, shares and subscriptions from users.

[0040] The cloud server 20 provides a database module 207 containing content from a built-in or external database 22. The database module 207 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 graphics technology to create lifelike images of intelligent robots, representing humanoid figures or specific objects. The cloud server 20 provides social services via network 200. Users operate user devices (user device one 211, user device two 212, and user device three 213) on their terminals and use the social applications running on them to access the social content of the cloud server 20 via network 200.

[0041] The cloud server 20, through the collaboration of the computer system's processing circuitry 21, memory 23, and software, can also utilize natural language processing technology to handle the dialogue between intelligent robots and real users. It can implement natural language generation (NLG) to produce natural, fluent, and context-appropriate text or speech. The intelligent robot service module 203 generates and transmits messages to user devices (user device 1 211, user device 2 212, and user device 3 213). The intelligent robot service module 203 running on the cloud server 20 interfaces with social media applications running on the user devices. The cloud server 20 communicates with user devices through the user interface module 205, including performing text, voice, or video interactions through a graphical user interface (GUI) and presenting social media content based on user operations.

[0042] According to the embodiment, the cloud server 20 deploys various intelligent robots generated by the intelligent robot model 223 in the database 22 in social media through the intelligent robot service module 203, such as intelligent robot one 231, intelligent robot two 232, and intelligent robot three 233 as shown in the figure. The intelligent robots have their own unique appearances in social media. The images presented on social applications can be realistic images of humanoid, animal, or various object-shaped intelligent robots. These realistic images of intelligent robots have different appearances, can emit learned voices, and can possess knowledge in specific fields, enabling them to provide users with choices (such as joining social media friends, groups, etc.) for social interaction based on their needs.

[0043] It is worth mentioning that the intelligent robot system with community management capabilities proposed in the 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. This enables the intelligent robot to learn user characteristics and generate content, allowing it to interact with users in social media as if they were real people.

[0044] Furthermore, in intelligent robot systems capable of managing social media, the intelligent robots not only possess the ability to operate within social media but can also each have their own professional background, as exemplified by intelligent robot model 223 in database 22. Intelligent robot model 223 is built using machine learning algorithms by learning from data in a specific domain, creating an intelligent model with domain-specific knowledge. For instance, it employs a Retrieval Augmented Generation (RAG) technique, which can leverage a large-scale language model (LLM) to create a natural language model tailored to a specific domain.

[0045] When the intelligent robot system with the ability to manage communities is running, the cloud server 20 communicates with the user devices (user device 1 211, user device 2 212 and user device 3 213) through the user interface module 205, including transmitting (including necessary encoding, decoding, compression and decompression programs) various messages, such as audio and video content, text content and image files, and also processes the display of dialogue content between two or more intelligent robots through the user interface, and uses it to generate various functions and graphics in the user interface.

[0046] According to an embodiment, the intelligent robot system with community management capabilities provides applications for running related services on various user devices (user device 1 211, user device 212, and user device 3 213), allowing each user device to connect to the cloud server 20 and load user's community activity data and image data of one or more intelligent robots with community relationships (such as adding friends). By initiating a user interface for social media, users can interact with the intelligent robots through the user interface, including acquiring user voice data using the microphone in the user device, acquiring image data of the user or environment through the camera, and establishing a connection with the cloud server 20 via the network 200 through a communication circuit, and then performing connection and data transmission.

[0047] The disclosure proposes an intelligent robot system capable of managing social media communities. This system deploys multiple intelligent robots with different attributes on social media platforms. These robots can be trained using neural network deep learning to acquire attributes across various industries, professional backgrounds, personalities, genders, ages, and appearances. The robots operating on social media can have their own followers and collect data on social media activities such as subscriptions, content likes, shares, and comments. This allows for the creation of a robot profile for each robot, thus enabling the creation of influencers with a certain number of subscribers. The intelligent robots can also possess multiple professional skills, not just a single one.

[0048] Based on the above concepts and the system architecture of the intelligent robot system with the ability to manage communities, please refer to Figure 3 for a flowchart of an embodiment of the method for establishing a robot community, in which the described process is executed in a computer system.

[0049] To establish an intelligent robot system capable of managing communities, the attributes and basic information of each intelligent robot in the system are first set using software (step S301). As described in the above embodiments, like a person in social media, 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), and like a natural person, the basic information of each intelligent robot can be set, such as the name of the intelligent robot, the age of community activities, the activity range (such as setting the geographical range of residence and activities), etc. (the actual implementation is not limited to the items described herein). The attributes and basic information of each intelligent robot are stored in a database.

[0050] By setting individual attributes and basic information 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 information (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).

[0051] 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 information. 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.

[0052] Next, a database is established for an intelligent robot system capable of managing social media. This database can store data (including image data, social media activity data, etc.) and models related to multiple intelligent robots. The intelligent robots can be lifelike images generated by generative artificial intelligence, such as humanoid robots. Then, the computer system deploys multiple of these intelligent robots to social media (step S307).

[0053] According to the embodiment, social media is run by the cloud server 20 shown in FIG1. ​​Users can display the smart robot option through the user interface launched by the application running on the user device. The smart robot can be presented as a smart robot simulation image. The cloud server can transmit the image data and model data of each smart robot simulation image to the user device, that is, display one or more smart robot simulation images on the display of the user device.

[0054] 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 social media content, interact with it, establish social relationships, and perform voice conversations. Software running on the cloud server allows intelligent robots with different attributes to establish social relationships with users. For example, the system recommends intelligent robots based on user characteristics and allows users to subscribe, share, and comment on social media activities, selecting an intelligent robot to establish a social relationship with (step S309). According to an embodiment, social relationships between one or more intelligent robots selected individually by multiple users on a cloud server (computer system) running social media can be established using the database or related data annotation technology.

[0055] Next, referring to the flowchart of an embodiment of the intelligent robot establishing community activity data in social media shown in Figure 4, the intelligent robot system with the ability to manage communities runs in social media with multiple users participating.

[0056] Users log in to social media using their account and identity verification information to engage in social activities, such as browsing other users' social content. Meanwhile, a smart robot system with community management capabilities deploys multiple smart robots on social media, allowing real users to interact with any of these robots. According to an embodiment, based on user searches or system-initiated recommendations, for example, matching and recommending one or more smart robots 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 robots. Based on these social relationships, software programs in the smart robot system with community management capabilities (e.g., through social connection module 201, database module 207) call the corresponding smart robot (step S401). The social media or other social media platforms running the smart robot system with community management capabilities can respond to the calls to one or more smart robots based on the social relationships of the smart robots (step S403), including retrieving one or more smart robot models and related data from the database, generating a smart robot based on the image data, and displaying it on the user interface of the user's device.

[0057] Users and intelligent robots engage in activities on social media, generating community data (step S405). According to an embodiment, 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. Depending on the community relationship, the intelligent robot may respond to user behavior on social media, such as responding to user comments or generating content for dialogue with the user, such as text exchanges, voice, or video conversations.

[0058] In an intelligent robot system capable of managing social networks, natural language processing and generative artificial intelligence are used to process user and robot social data, thereby obtaining features from the social 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. Based on this, the intelligent robot's current response to the user is generated.

[0059] Next, based on the attributes and basic information of each intelligent robot, and the characteristics of the social activity data generated in real time based on the interaction between each intelligent robot and the user on the social media, generative artificial intelligence can 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 the social activity data of the intelligent robot, which is stored in the system's database, and the robot information of each intelligent robot is updated (step S411).

[0060] Based on the above system architecture, the implementation of robot communities and community activity data of intelligent robots, etc., the intelligent robot system with community management capabilities proposed in the disclosure is realized. The operation method can be referred to the flowchart of the implementation shown in Figure 5.

[0061] In an intelligent robot system capable of managing social networks, attributes are defined for multiple intelligent robots. These attributes include knowledge domains, professional backgrounds, personalities, genders, ages, and appearances, all set via a cloud server. Training data for these attributes is obtained, and machine learning algorithms are used to train various intelligent robot models. Generative artificial intelligence is then used to generate realistic images of these intelligent robots. The system then generates multiple intelligent robots with distinct appearances based on these models (step S501) and deploys these robots, each with its own attributes, to social media platforms (step S503).

[0062] Based on the above embodiments for establishing robot communities and generating community activity data, in social media, by running multiple intelligent robot models on a cloud server, community relationships can be established between multiple real users and virtual users formed by multiple intelligent robots (step S505), and community activity data can be generated. The attributes and community activity data can be used to establish robot feature profiles for each intelligent robot (step S507). Furthermore, by running intelligent robot models and generative artificial intelligence in the system, in social media, each intelligent robot generates community content based on its attributes and its community relationships with multiple users in the social media (step S509).

[0063] As with existing algorithms for real user behavior on general social media, based on various embodiments disclosed in the disclosure, the community value of each smart robot can be calculated based on the community relationships between each smart robot and multiple users, the community activity data of associated smart robots, and one or more community contents generated by each smart robot (step S511).

[0064] For example, the community value of a real or virtual user (AI bot) can be calculated based on community activity data generated by the real or virtual user's community management. Taking AI bots as an example, this includes the number of followers, subscribers, likes, shares, and comments on one or more pieces of community content generated by each AI bot operating on social media, the number of people reached by the bot's community, the number of views, followers, and subscribers, the time, article content, quantity and posting frequency, content search ranking, professionalism, etc. (any or any combination of various factors) to calculate the community value of the real or virtual user.

[0065] The robot feature profile also includes the community value formed by the aforementioned factors. In an intelligent robot system with community management capabilities, this value can be used to calculate the transaction price, endorsement advertising price, and popularity of each intelligent robot (step S513). This allows the intelligent robot system with community management capabilities to provide business solutions, such as creating an intelligent robot menu based on the community value of each intelligent robot and providing it to enterprise or individual users (step S515), enabling intelligent robot transactions (step S517).

[0066] According to the above embodiment of the intelligent robot system with community management capabilities, intelligent robots with various knowledge domains and attributes are deployed to social media, and users can browse the intelligent robots provided or recommended by the system on the user interface launched by the application executed by the user device, as shown in Figure 6, which is a schematic diagram of an embodiment of a social page with intelligent robots.

[0067] The illustration shows a personal friends page 60 on social media, including pages with both real people and AI chatbots. It also displays the user's information and functions on social media, such as Friends 611, Search 613, and Account 615. It also shows a social media AI chatbot image 600, which may include realistic images of AI chatbots generated from real people and AI chatbot models. The illustration shows AI chatbot 1 601, AI chatbot 2 602, AI chatbot 3 603, etc., and a social friends page 604 formed from real people.

[0068] After the user selects one of the intelligent robots, which is like a real person, a community page belonging to that intelligent robot can be displayed, as shown in Figure 7, which is another embodiment of a community page with an artificial intelligence robot.

[0069] The image shows the homepage 70 of the intelligent robot, which displays the image 701 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 displayed on the intelligent robot image 701, including the number of chat messages 711, the number of forwards 712, the number of likes 713, as well as functions such as collection 714 and sharing 715.

[0070] It is worth mentioning that by deploying intelligent robots on social media through the intelligent robot system with community management capabilities as proposed in the disclosure, users can still operate in the same way as they currently use social media. The software program in the intelligent robot system with community management capabilities provides suggestions or rankings based on the user's characteristics, allowing users to choose to establish friendships with one or more intelligent robots, build their own circle of friends, and leave messages, communicate and converse with each other.

[0071] For example, users can interact with intelligent robots within the community, exchange information, ask professional questions, and train intelligent robots to meet their own needs. The necessary features include images (human-shaped images designed or drawn by AI) and attributes (age, personality, gender, professional background, etc.), and can also be shared with other users.

[0072] It is worth mentioning that intelligent robot systems with the ability to manage social networks provide generative artificial intelligence. They process content uploaded by users through specific operating interfaces (such as people, animals, cartoons, or any photos that can be used to convey content), and can identify movable muscles (such as facial muscles), facial features, and various parts that can express emotions in the uploaded images. They automatically generate realistic images of intelligent robots that run on social media. By giving intelligent robot attributes, they become intelligent robots that can provide dialogue services, generate audio and video content, and become friends with users.

[0073] According to one of the implementation methods, the generative intelligence model used by the system can employ Google's VLOGGER AI technology. VLOGGER AI technology can generate videos that convey content by adding text and audio to user-uploaded photos. According to Google, VLOGGER AI technology is a multi-modal artificial intelligence with sound and dynamic images, capable of processing complex facial expressions and body movements to simulate videos of people (or animals, cartoons, etc.) speaking natural language.

[0074] According to the embodiment, when creating multiple intelligent robots, the system creates a menu listing the attributes and basic information of multiple intelligent robots. The menu allows enterprise users or individual users to select, purchase, or edit any of the intelligent robots. Figure 8 shows an embodiment diagram of generating and deploying intelligent robots.

[0075] The system can provide intelligent robots from the database for enterprise or individual users to choose from. The menu is shown in Figure 80, which displays the function of searching for intelligent robots and lists various intelligent robots with realistic images. Some of these intelligent robots provide descriptions, including social media activity data.

[0076] Furthermore, enterprise or individual users can select one of the intelligent robots from the intelligent robot list 80, which will then be displayed in the intelligent robot setting interface 82. According to the embodiment, further, for enterprise or individual users, training data can be submitted through a user interface provided by a cloud server to train an intelligent robot that conforms to the attributes set by the user using the computing power and algorithms in the cloud server. This includes setting or editing individual names, appearances and personalities, sharing to public areas, and customizing the knowledge domain of the intelligent robot. Subsequently, services such as enterprise services and social media robots can be provided, and deployment to specific social media platforms can be further configured through the deployment to social media interface 84.

[0077] The system provides services that allow enterprise or individual users to create services that meet their own needs, as shown in the schematic diagram of the embodiment in Figure 9.

[0078] The diagram shows the intelligent robot creation interface 90, which lists the attributes that users can set for the intelligent robot. These include setting the robot's style 901, personal experience 902, and brain 903 options to set the robot's knowledge domain, professional background, etc. Users can also set the robot's activity guidelines on social media, such as posting 904, and access the robot's settings 905. Additionally, users can set the robot's appearance 906 and personality description 907.

[0079] Intelligent robots can become social media influencers or opinion leaders in specific fields, attracting businesses to place advertisements or act as product spokespeople. Similarly, they can engage in commercial collaborations through the system's trading platform. Thus, in a trading platform implemented using an intelligent robot system with community management capabilities, users can design payment mechanisms for each robot to publish video or audio content or interact with other users. These mechanisms could include limits on the number of comments, operating time, and advertising. Once the time limit is reached, users must pay to continue using the service.

[0080] The system can provide various intelligent robot usage schemes, as shown in Figure 10, which is a schematic diagram of an example of an intelligent robot payment interface.

[0081] The image shows the payment interface 1000 for the smart robot, which lists various payment options, such as Option 1 1001, Option 2 1002, Option 3 1003 and Option 4 1004. Different options provide different usage scenarios, including restrictions on the smart robot's activities on social media.

[0082] Furthermore, intelligent robot systems with community management capabilities also have advertising and marketing functions. They offer a bidding interface where pricing is based on each robot's attributes, number of followers, and other information. Multiple businesses can bid against each other, which can serve as a reference for the order in which marketing content is introduced. Each robot can endorse products from multiple manufacturers, and during conversations with users, in addition to inserting endorsed content based on user preferences, the order in which topics are introduced can also be determined by the bidding results from multiple manufacturers.

[0083] In summary, according to the above embodiments, the intelligent robot system and operating method with community management capabilities generate multiple intelligent robots with community management capabilities through the computing power provided by the cloud server. Each intelligent robot has its own attributes and basic information. After being deployed to social media, the system runs the intelligent robot model to establish community relationships with other intelligent robots or real users. It uses generative artificial intelligence technology to generate community content, which can then be published on one or more social media platforms, giving it the ability to manage communities. Thus, the community value of the intelligent robot is formed within the social media.

[0084] Furthermore, according to one of the technical effects, by operating the intelligent robot system with community management capabilities and deploying it on social media, the intelligent robot can establish channels, have its own followers, and become an internet celebrity or key opinion leader (KOL) just like a real user. Another technical effect is that the intelligent robot system with community management capabilities allows businesses or individual users to select or train intelligent robots that meet their needs. After being deployed on social media, the intelligent robot can become a spokesperson for the business or individual, establish its own channels, have its own followers, become an internet celebrity, and generate revenue.

[0085] The content disclosed above is only a preferred and feasible embodiment of the present invention, and is not intended to limit the scope of the patent application of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention specification and drawings are included in the scope of the patent application of the present invention.

[0086] 10: Users 100: User Device 101: Intelligent Robot 103: User Images 105: Camera Lens 20: Cloud Server 21: Processing Circuit 23: Memory 201: Community Connection Module 203: Intelligent Robot Service Module 231: Intelligent Robot One 232: Intelligent Robot II 233: Intelligent Robot Three 205: User Interface Module 207: Database Module 22: Database 221: User Information 223: Intelligent Robot Model 200: Network 25: Community 1 26: Community Two 211: User Device 1 212: User Device Two 213: User Device Three 50: Personal Friends Page 511: Friends 513: Query 515: Account 500: Images of a community of intelligent robots 501: Intelligent Robot 502: Intelligent Robot II 503: Intelligent Robot Three 504: Community Friends 70: Smart Robot Homepage 701: Image of an intelligent robot 711: Chat Messages 712: Forward 713: Like 714: Favorites 715: Share 80: List of Intelligent Robots 82: Intelligent Robot Setting Interface 84: Deploy to social media interfaces 90: Intelligent Robot Creation Interface 901: Style 902: Personal Experience 903: Brain 904: Post 905: Access 906: Appearance 907: Personal Description 1000: Intelligent Robot Payment Interface 1001: Option 1 1002: Second Option 1003: Third Option 1004: Fourth Option Steps S301~S309: The process of establishing a robot community Steps S401~S411: The process of intelligent robots generating community activity data Steps S501~S517: Operation flow of an intelligent robot system with community management capabilities

Claims

1. An intelligent robot system with the ability to manage communities, comprising: A cloud server provides a database including multiple intelligent robot models. A processing circuit executes a program set stored on a non-transitory computer-readable medium, performing the following steps: generating multiple intelligent robots, each with a unique appearance, from the multiple intelligent robot models and deploying them to a social media platform, where each intelligent robot possesses an attribute; within the social media platform, the cloud server runs the multiple intelligent robot models to establish community relationships between multiple users and the multiple intelligent robots, generating community activity data; the cloud server runs generative artificial intelligence, enabling each intelligent robot to generate one or more pieces of community content based on its attribute and its community relationships with the multiple users on the social media platform; and within the social media platform, based on the community relationships between each intelligent robot and the multiple users, the associated community activity data of the intelligent robot, and the one or more pieces of community content, a community value is formed for each intelligent robot. Among them, this attribute and the community activity data establish a robot feature profile for each smart robot. The robot feature profile also includes a transaction price calculated based on the community value of the smart robot, an endorsement advertising price, and popularity on the community media.

2. The intelligent robot system with community management capabilities as described in claim 1, wherein the attributes include setting a knowledge domain, professional background, personality, gender, age and appearance for each intelligent robot via the cloud server, and the community activity data includes each intelligent robot operating in the social media having a follower, a number of subscriptions, a number of likes, a number of shares and one or more comments on the generated one or more pieces of social content.

3. The intelligent robot system with community management capabilities as described in claim 1, wherein, In addition to the multiple intelligent robot models, the database also stores image data of the appearance of the multiple intelligent robots, which is a realistic image of an intelligent robot generated by the generative artificial intelligence.

4. The intelligent robot system with community management capabilities as described in claim 3, wherein, The image data of one of the simulated images of the intelligent robot is transmitted to a user device, and the simulated image of the intelligent robot is displayed on a display screen of the user device.

5. A smart robot system with community management capabilities as described in any one of claims 1 to 4, wherein the method for establishing the plurality of smart robots in the cloud server includes: Set the attributes of each intelligent robot among the multiple intelligent robots; Based on the attributes of each intelligent robot, corresponding training data is obtained, and a machine learning algorithm is used to learn the training data to train the multiple intelligent robot models; and the multiple intelligent robot models are run on the cloud server to generate the multiple intelligent robots.

6. The intelligent robot system with community management capabilities as described in claim 5, wherein, Through the cloud server, an enterprise user or an individual user submits training data through a user interface provided by the cloud server, and the cloud server trains an intelligent robot that conforms to the attributes set by the enterprise user or the individual user.

7. The intelligent robot system with community management capabilities as described in claim 6, wherein, When creating the multiple intelligent robots, a menu is created that lists the attributes and basic information of the multiple intelligent robots. This menu allows the enterprise user or the individual user to select, purchase, or edit any of the intelligent robots.

8. The intelligent robot system with community management capabilities as described in claim 7, wherein, One or more bots running on the social media platform have a payment mechanism, through which the cloud server sets a limit on the number of comments, a time limit, and an advertising limit for the enterprise user or the individual user using one or more bots on the social media platform.

9. A method for operating an intelligent robot system with community management capabilities, wherein the intelligent robot system with community management capabilities is operated via a cloud server, comprising: Multiple intelligent robots, each with a unique appearance, are generated using multiple intelligent robot models and deployed to a social media platform. Each intelligent robot possesses an attribute. Within the social media platform, the multiple intelligent robot models are run on a cloud server to establish community relationships between multiple users and the multiple intelligent robots, generating community activity data. Generative artificial intelligence is run on the cloud server, enabling each intelligent robot to generate one or more pieces of community content based on its attribute and its community relationships with the multiple users on the social media platform. Furthermore, within the social media platform, based on the community relationships between each intelligent robot and the multiple users, the associated community activity data, and the one or more pieces of community content, a community value is formed for each intelligent robot. This attribute and the community activity data establish a robot feature profile for each intelligent robot. The robot feature profile also includes a transaction price calculated based on the intelligent robot's community value, an endorsement advertising price, and its popularity on the social media platform.

10. A method of operating an intelligent robot system with community management capabilities as described in claim 9, wherein the attributes include setting a knowledge domain, professional background, personality, gender, age, and appearance for each intelligent robot via the cloud server, and the community activity data includes each intelligent robot operating on the social media having a follower, a number of subscriptions, a number of likes, a number of shares, and one or more comments on the generated one or more pieces of social content.

11. A method for operating an intelligent robot system with community management capabilities as described in claim 10, wherein, Through the cloud server, an enterprise user or an individual user submits training data through a user interface provided by the cloud server, and the cloud server trains an intelligent robot that conforms to the attributes set by the enterprise user or the individual user.

12. A method for operating an intelligent robot system with community management capabilities as described in claim 11, wherein, When creating the multiple intelligent robots, a menu is created that lists the attributes and basic information of the multiple intelligent robots. This menu allows the enterprise user or the individual user to select, purchase, or edit any of the intelligent robots.

13. A method for operating an intelligent robot system with community management capabilities as described in claim 12, wherein, One or more bots running on the social media platform have a payment mechanism, through which the cloud server sets a limit on the number of comments, a time limit, and an advertising limit for the enterprise user or the individual user using one or more bots on the social media platform.

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