224 results about "Companion robot" patented technology

The embodiment of the invention discloses an accompanying robot control method and device, computer equipment and a storage medium, and relates to the field of artificial intelligence, and the method comprises the steps: collecting environment information, multi-mode emotion information of a user, and user instruction information; identifying an emotional state of the user based on the multi-mode emotional information; identifying a user intention based on the user instruction information; and performing multi-source information fusion analysis based on the environment information, the emotional state and the user intention, generating a control instruction, and controlling an accompanying robot to execute the control instruction. According to the method, the limitation of a single information source is broken through, the problems that emotion recognition is easily interfered and intention understanding is rigid are solved, and the crossing from passive response to active understanding is realized, so that the accompanying robot can be controlled to provide accurate service according to the actual state and the actual environment condition of the user.

The invention relates to an accompanying robot decision-making method and device based on a cross-modal knowledge graph, equipment and a medium. The method comprises the following steps: acquiring original multi-modal sensor data, and performing time alignment and perception feature extraction on the original multi-modal sensor data to obtain a perception unit set; fusing the perception unit set to obtain a time sequence semantic vector and a semantic candidate entity; updating the cross-modal knowledge graph, and performing conditional aggregation and read extraction on the updated cross-modal knowledge graph by adopting a graph neural network to obtain an emotional state vector with probability distribution, an environment semantic abstract and a trigger factor set; and in combination with the long-term user portrait and the preset task constraint, graph conditional decision is carried out to generate an accompanying robot execution instruction. By the adoption of the method, real-time decision making and long-term self-adaption of an accompanying scene can be achieved through multi-modal time sequence fusion and a time hyperedge-based cross-modal knowledge graph in combination with conditional graph reasoning and a personalized strategy.

The invention discloses an operation system of an accompanying robot, and belongs to the technical field of intelligent robots. The system is composed of a sensing module, an operation control system and an execution operation and maintenance system, and can achieve multiple functions of family safety patrol, pet accompanying care, human emotion interaction and the like. Environmental and target information is obtained through the upper laser radar and the bottom visual AI module, corresponding operation is executed by the execution operation and maintenance system after the environmental and target information is processed by the operation control system, the problem that an existing product is single in function and not intelligent enough is solved, and the system has the advantages of being convenient to use, high in intelligent degree and capable of achieving anthropomorphic emotional interaction.

1. Name of the designed product: the body of a robot. 2. Use of the designed product: the product is used for the body of a companion robot. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: Design 1, perspective view 1. 5. Design 1 is designated as the basic design.

The invention relates to the technical field of robot intelligent interaction and control, and discloses an accompanying robot control method and system. The method comprises the steps of constructing a dynamically evolved narrative logic network, and generating narrative development path bundles of a plurality of time windows in the future through probability deduction. The potential user intention is analyzed for each path, and intention-behavior mapping is established and instantiated into an executable behavior spectrum. During operation, the dynamic matching degree is calculated through real-time feedback, and an adjoint degree attenuation monitoring mechanism is set; and when the matching degree is continuously lower than a threshold value, backtracking and reconstruction of the narrative path are triggered, so that the network jumps to a new development node. According to the method, the robot can perform active prediction and dynamic narrative adjustment on the interaction plot, so that the continuity, the initiative and the situation adaptability of long-term accompanying interaction are enhanced.

The utility model discloses robot technical field provides a kind of bionic ear and accompanying robot.Bionic ear includes: ear body and first drive component;Ear body has the ear morphology of target organism;First drive component and ear body are connected, to drive ear body swing around first axis, ear body is also rotatablely arranged relative to first drive component around second axis;Wherein, first axis is configured as along left and right direction, second axis is configured as along front and back direction.The utility model can imitate target organism to do multiple mimicry action using bionic ear, strong interesting, increase the pet characteristic of accompanying robot, help the application of accompanying robot in different scenes.

1. The name of the design product: intelligent companion robot. 2. The use of the design product: the design product is used for intelligent companion robot. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: combined state perspective view 1.

The utility model provides a jaw moving structure of an AI child accompanying robot, and belongs to the technical field of robots. The technical problem that in the prior art, interaction experience is poor is solved. The jaw moving structure of the AI child accompanying robot comprises a movable jaw, the jaw is arranged on a jaw seat, the jaw seat is hinged to a shell, and a swing driving mechanism capable of driving the jaw seat to swing around the hinged axis is arranged between the jaw seat and the shell. And a jaw radial moving mechanism capable of enabling the jaw to radially move along the hinged axis of the jaw seat when the jaw swings is arranged between the jaw and the jaw seat and / or between the jaw and the shell. Due to the design that the chin is movable, the interactive experience of a user can be improved; various motion mixed simulation is adopted, so that the simulation degree is higher; an automatic reset mechanism is arranged, and the service life is long; and a plurality of components are elastically connected and are not easy to damage due to external force, and the like.

1.The name of the design product: intelligent accompanying robot. 2.The use of the design product: used for interfacing with hospital HIS, LIS, smart maternal and child system, electronic medical record and maternal and child health record, providing text, picture, voice, and physical sign data analysis. 3.The design points of the design product: in shape. 4.The picture or photo best indicating the design points: perspective view.

1. Name of the product in this design: AI Companion Robot Dog (Xiao Zhi Ling Dong). 2. Purpose of this design: For use in intelligent robot dogs. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

1. The name of the design product: educational companion robot (SDSK-001). 2. The use of the design product: play audio and video interaction of family education auxiliary tool. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention provides a personalized voice cloning accompanying robot system and method based on a large model, and relates to the technical field of artificial intelligence voice interaction and emotion computing, the system comprises an end side and a cloud end, and the method comprises the following steps: collecting a user voice sample, and carrying out preliminary feature extraction; finely adjusting the TTS model by adopting a feed-shot learning algorithm to generate personalized sound; inputting multi-modal data to an emotion fusion LLM engine, and outputting a response text with an emotion tag; voice response is synthesized through local reasoning; and outputting a voice response. According to the method, the problems of low cloning accuracy, insufficient emotion fusion, high privacy risk, high response delay and the like of an existing voice cloning technology in an accompanying robot are solved, and high accuracy (gt; 95%) few sample cloning, emotional response generation, end-side privacy protection and low latency (lt; and the applicability of the accompanying robot in children education and elderly nursing scenes is improved.

1. The name of the design product: companion robot. 2. The use of the design product: the design product is used for data processing, communication, intelligent voice interaction, emotional companionship, entertainment. 3. The design points of the design product: in the shape of the product. 4. The picture or photo that best indicates the design points: perspective view 1.

1. The name of the design product: companion robot (Tianzu sugar). 2. The use of the design product: the design product is used for emotional companionship, interactive communication and other functions of intelligent companion robots. 3. The design points of the design product: the shape of the product. 4. The picture or photo that best indicates the design points: perspective view 1.

1. The name of the design product: a household bipedal companion robot. 2. The use of the design product: a smart robot that can walk, move, interact with voice, and entertain and accompany in a household environment. 3. The design points of the design product: the overall shape of the product. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses a learning accompanying robot system based on AI multi-mode fusion and a learning behavior intervention method of the learning accompanying robot system. According to the system, on the basis of a table lamp illumination function, multi-mode sensing modules such as an RGB camera and a microphone array and a four-degree-of-freedom mechanical arm executing mechanism are integrated. Through the AI multi-mode fusion technology, the system can recognize six learning states (concentration, fatigue, distraction, poor sitting posture, fake learning and normal rest) of students, a personalized intervention strategy is generated in combination with a subject knowledge graph, and active intervention is achieved through mechanical arm physical interaction, voice prompt and light adjustment. The system further integrates an intelligent learning tutoring function, when the learner actively asks for help, a heuristic teaching method is adopted to provide layered tutoring, and the tutoring effect is improved through multi-mode collaborative explanation of voice and mechanical arm pointing. According to the invention, a counterfeit learning recognition algorithm and a fatigue time sequence prediction model are put forward for the first time, and experiments show that the average concentration duration of students can be increased by 78%, the sitting posture correction efficiency can be increased by 68%, the counterfeit learning recognition accuracy can reach 92.7%, the fatigue prediction accuracy can reach 89%, and the question completion rate after intelligent tutoring can reach 87%. The method is suitable for scenes of K12 family education, online education supervision, library self-study and the like.

The invention discloses an intelligent accompanying robot based on visual perception and recognition and a control method, and the robot comprises a visual perception and recognition module which is used for collecting indoor and outdoor environment images in real time, and constructing a three-dimensional environment map; verification and visual positioning of identity recognition of the elderly; recognizing a corresponding emotional state through a facial expression recognition algorithm; recognizing obstacles in the environment through the deployed target detection model; the real-time accompanying control module is used for starting real-time identification and accompanying based on the three-dimensional environment map and the visual positioning of the elderly, and dynamically adjusting following parameters according to the moving state of the elderly to avoid obstacles in the environment; the emotional accompanying and interaction module is used for calling a preset emotional interaction strategy to realize emotional accompanying after visually identifying the emotional state of the elderly; the method has the advantages that visual perception and recognition serve as the core, gait recognition and emotion accompanying and interaction are adopted, and accompanying precision and service initiative are improved.

1. Name of the product in this design: Companion Robot. 2. Purpose of this design: A companion robot for assisting learning, companionship, and entertainment activities. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key features: the front view.

The invention is suitable for the technical field of intelligent interaction, provides a robot interaction method and a related device, and aims to enable an accompanying robot to understand emotional states and demands of people and correspondingly make a proper interaction mode. The method mainly comprises the steps that input of at least two kinds of interaction type data of a target service object is acquired, and the at least two kinds of interaction type data are aligned on the same time axis; intercepting at least two types of interaction type data as emotion recognition data on the same time axis by adopting a sliding window with a preset duration; inputting the emotion recognition data into a preset emotional state evaluation model to speculate the emotional state of the target service object to obtain a target emotional state; inputting the target emotional state into a preset intention evaluation model to perform demand speculation on the target service object to obtain a target demand; generating a target interaction scheme for the target service object according to a target demand; and executing the target interaction scheme.

1. Name of the product in this design: Companion Robot. 2. Purpose of this design: This design is for use in companion robots, enabling intelligent dialogue, touch interaction, content on-demand, and other interactive features. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design.

1. The name of the design product: companion robot. 2. The use of the design product: for home companionship, electronic pets, bookends and toys. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: front view.

This application discloses a sensor-based intelligent prediction method, device, and medium for accompanying robots, belonging to the technical field of accompanying robots. The method includes: collecting user behavior, visual, and environmental data; filtering and standardizing the data using a Kalman filter algorithm to generate standard data; processing the standard data using an action recognition algorithm to determine user behavior; constructing a digital model based on standard environmental data, and combining this model with a preset target and reward function to select a navigation path; predicting the user's next position and direction of movement based on historical environmental data and a parallel interactive multi-model Kalman filter algorithm; and calculating the accompanying robot's motion commands based on the navigation strategy and user prediction information. This application effectively integrates data from multiple sensors, improves the accuracy of user behavior recognition, and enables the development of flexible and efficient navigation strategies.

This utility model discloses a curved semi-transparent uniform light-emitting structure, belonging to the technical field of optical display equipment. It includes: a curved display screen; and a light-emitting component comprising a dot matrix screen and a light-emitting plate. Both the dot matrix screen and the light-emitting plate are curved, and their curvatures are the same as those of the curved display screen. The dot matrix screen, the light-emitting plate, and the curved display screen are sequentially bonded together. A plurality of light-transmitting holes are uniformly distributed on the light-emitting plate, and the vertical distance from each light-transmitting hole to the inner surface of the curved display screen is equal. An intelligent companion robot is also disclosed, integrating the aforementioned curved semi-transparent uniform light-emitting structure. Through "co-curvature bonding + equal optical path design," the curvatures of the dot matrix screen, the light-emitting plate, and the curved display screen are consistent and tightly bonded, ensuring that the vertical distance from each light-transmitting hole to the display screen is equal. This eliminates problems such as bright spots, dark areas, or blurred edges caused by differences in optical path, achieving a highly consistent brightness and a soft, continuous semi-transparent light emission effect across the entire area.

1. The name of the design product: intelligent companion robot. 2. The use of the design product: intelligent companion robot for life care, health safety, and emotional companionship. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

1. Name of the design product: children's companion robot (Doudou). 2. Use of the design product: for human-computer dialogue communication and interaction feedback. 3. Design points of the design product: in shape. 4. Picture or photo that best indicates the design points: perspective view.

The invention relates to the field of robots, in particular to an accompanying robot and a walking control method and program product thereof. The method comprises the following steps: if the accompanying robot is not in a normal mode, controlling the accompanying robot to enter the normal mode according to a preset mode triggering condition; if the accompanying robot is in a normal mode or the accompanying robot is controlled to enter the normal mode, state information of the accompanying robot is detected, and in the normal mode, a moving mechanism of the accompanying robot is in a movable state; if the state information meets the preset walking condition, the accompanying robot is controlled to execute the preset walking action, so that the accompanying robot can be more natural and flexible in the accompanying process, and the user experience of using the accompanying robot is improved.

1. Name of the product in this design: Intelligent Companion Robot. 2. Purpose of this design: A cat-faced robot designed to provide emotional companionship to users through natural language interaction based on a large language model. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. Name of the product in this design: AI Learning Companion Robot (Woody). 2. Purpose of this design: Robot for emotional companionship, children's encyclopedia; multilingual environment construction (AI language learning, AI stories, multilingual resources). 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. The name of the design product: companion machine. 2. The use of the design product: for companionship, interactive content on demand, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

1. The name of the design product: companion robot. 2. The use of the design product: for emotional companion robot for children. 3. The design features of the design product: in shape. 4. The picture or photo that best indicates the design features: front view.