273 results about "Companion robot" patented technology

The invention discloses a multi-mode interaction method for an accompanying robot, and relates to the technical field of robot interaction.The multi-mode interaction method comprises the steps that voice, visual and tactile signals are converted into quantum states through multi-mode quantum state coding, emotion weights are dynamically fused, and unified quantum representation is constructed; the dynamic quantum decision engine analyzes environmental noise and user emotion intensity in real time based on a quantum measurement theory, generates an adaptive strategy through dynamic modal weight distribution, and solves a multi-modal instruction conflict; holographic reinforcement learning optimization is combined with quantum acceleration calculation and classical reinforcement learning, the reward function weight is dynamically adjusted, cross-modal knowledge migration is achieved through the quantum tunneling effect, and the system strategy is continuously optimized. The problems that a traditional multi-mode interaction system is rigid in mode switching, high in emotion recognition error rate, lack of self-adaptive optimization of a feedback strategy and the like are solved, and the interaction efficiency and the user experience are improved.

The invention provides an accompanying robot scenic spot route intelligent planning management method driven by reinforcement learning, and relates to the technical field of artificial intelligence, and the method comprises the steps: generating an initial touring path through a reinforcement learning strategy based on user physiological data, scenic spot opening time constraint and real-time people flow information, and dynamically adjusting the path according to the real-time physiological monitoring signal, optimizing the residence time, and outputting a physiological adaptive path. According to the invention, the service intelligence level and the user experience of the accompanying robot are improved.

The invention relates to an emotion accompanying robot system based on multi-dimensional perception and an interaction method, and belongs to the technical field of intelligent robots. The system comprises a sensing module which captures micro-expression, voice, body temperature, touch and other multi-source data through a biological radar array, multispectral imaging and a touch sensing fabric; the decision-making module quantifies the emotion intensity by using an emotion state calculation engine, constructs a user personalized emotion file in combination with the dynamic knowledge graph, and generates a dynamic emotion graph; and the execution module realizes anthropomorphic emotion expression through bionic face driving, joint compliance control and thermal feedback. The interaction method comprises the steps of data capture, emotion file construction, dynamic graph generation, interactive execution and feedback adjustment, definition of an emotion intensity quantification formula, a graph edge weight model and the like. According to the method, physiological signals, environment situations and bionic expression are fused, multi-modal precise emotion perception and safe interaction are achieved, man-machine naturalness is improved, the method is suitable for elderly accompanying, psychological counseling and other scenes, and the emotion accompanying effect is enhanced.

The invention relates to the technical field of robots, in particular to an accompanying robot control method and an accompanying robot. The accompanying robot control method comprises the following steps: presetting a series of mood values based on different expressions; a series of interactive behaviors are preset, and different interactive behaviors correspond to different mood values; obtaining the current performance of the target, and automatically adjusting the current mood value according to the obtained current performance; outputting a corresponding interactive behavior according to the current mood value; in the scheme, the accompanying robot can adjust the own mood value by sensing the external emotion, that is, the accompanying robot can adjust the own emotion by sensing the external emotion and make the interactive behavior corresponding to the current emotion, so that not only can the target emotion be captured, but also the own emotion can be owned, and real bidirectional emotion interaction is realized; and the deep condition sharing between the accompanying robot and the target is realized.

The invention relates to an accompanying robot, and belongs to the technical field of robots. The accompanying robot comprises a head and two blinking mechanisms, the head is provided with two eye sockets, the two eye sockets are symmetrically located on the same side of the head, the blinking mechanisms correspond to the eye sockets in a one-to-one mode, each blinking mechanism comprises a back plate and two eyelids, the back plates are installed in the corresponding eye sockets, and the two eyelids are installed on the back plates. The back plates are arranged on the outer sides of the eye sockets, the front faces of the back plates face the outer sides of the eye sockets, and the two eyelids can be installed in the corresponding eye sockets in a relative movement mode and are both located on the front faces of the corresponding back plates. The accompanying robot disclosed by the invention can express relatively complex emotional information.

1. Name of the Design Product: Intelligent Robot Pet (Panda). 2. Use of the Design Product: Doll, AI Emotional Companion Robot. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Three-dimensional view.

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 relates to the field of health care robots, and particularly discloses a health care accompanying robot based on multi-modal facial feature fusion, which is characterized in that a facial expression video stream of an elderly object is acquired and refined preprocessing is carried out, and then fine features of each area of the face are captured; then, the fine features of all the areas of the face are intelligently recognized, and higher weights are given to the face micro expressions; and then capturing the time dynamic state of the expression, and further focusing on the key moment and mode of expression change in combination with a time attention module so as to generate a more accurate final emotion vector. And finally, an appropriate action instruction is generated for the robot based on the emotion vector, so that the defect that a traditional method depends on a single macro expression and ignores a contradictory signal is overcome, and accurate and unambiguous understanding and response to the emotion state of the elderly user are achieved.

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.

The invention discloses a wake-up method based on expression recognition, a robot and an interaction device capable of performing wake-up control through facial expressions of a user. The wake-up method and the robot are suitable for scenes such as psychological care, accompanying robots, child / old-age auxiliary equipment and the like. The device has multi-modal fusion perception and facial emotion active recognition awakening capability, and can remarkably improve the awakening accuracy, the humanization degree and the technical depth. By integrating an expression recognition awakening mechanism, the naturalness and initiative of man-machine interaction are improved, and the limitation of awakening depending on a single mode such as voice and touch control in the prior art is improved. The robot supports voice wake-up, touch wake-up and button wake-up modes at the same time, and a multi-mode fusion wake-up mechanism is achieved. The naturalness and usability of the psychological support robot in the man-machine interaction process are improved, and the psychological support robot is particularly suitable for non-contact emotion accompanying and psychological intervention of children, old people and language barrier users.

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.

The invention discloses an intelligent virtual accompanying robot scene dialogue rhythm control system, and belongs to the technical field of robot dialogue. Comprising a data acquisition module used for acquiring voice data of historical speaking; the historical vector extraction module is used for storing the low-dimensional rhythm shape vectors in a vector database; the online clustering module is used for generating a plurality of low-dimensional rhythm clusters and response templates; the current vector extraction module is used for extracting a rhythm shape vector; the similarity acquisition module is used for acquiring the similarity; the rhythm response module is used for calling a rhythm response template; and the new cluster generation module is used for generating a new rhythm cluster on line and creating a new template. According to the invention, the voice rhythm of the user is compressed into the low-dimensional shape vector, the exclusive rhythm cluster is formed through online clustering, and zero-delay matching is carried out in the real-time dialogue in a sliding slicing manner, so that the technical effects of instant response to the dialogue rhythm and long-term memory of the personal style are achieved; the problems of rhythm response lag and lack of context long-term memory in the prior art are solved.

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 relates to an accompanying robot, and belongs to the technical field of robot design. The accompanying robot comprises a base, a support, a functional mechanism, a cover body, an inflation mechanism and a control unit. The bracket is connected with the base; the functional mechanism is located on the side, away from the base, of the support and connected with the support. The cover body is made of a flexible material, the support is sleeved with the cover body, the cover body is connected with the base and the functional mechanism, and a gap is formed between the cover body and the support; the inflation mechanism comprises an air pump, an air inlet pipe and an air outlet pipe, the air pump is connected with the support, one end of the air inlet pipe extends out of the functional mechanism, the other end of the air inlet pipe is communicated with the input end of the air pump, one end of the air outlet pipe is located in the gap, and the other end of the air outlet pipe is communicated with the output end of the air pump; the control unit is electrically connected with the air pump and used for controlling starting and stopping of the air pump. According to the invention, the use safety of the accompanying robot can be improved.

The present utility model relates to the field of robots. Disclosed is a companion robot, comprising a base, a robot body and a touch screen assembly, wherein the robot body is separated from the touch screen assembly; the robot body is arranged on the base, a monitoring assembly for monitoring health data of a user is provided on the robot body, and the monitoring assembly is electrically connected to the touch screen assembly; and the touch screen assembly is rotationally connected to the base, such that the touch screen assembly rotates close to the base. In the present utility model, the robot body is separated from the touch screen assembly, such that a requirement of the elderly for a companion robot that has a touch screen assembly with an adjustable viewing angle can be met, and a requirement for large-field-of-view display of a screen of the touch screen assembly can be met. Moreover, the provision of the monitoring assembly allows a requirement of the elderly for daily health monitoring to be met.

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.