303 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 relates to the technical field of robot perception, in particular to an intelligent accompanying human-type robot based on multi-mode emotion interaction and a perception method, and the method comprises the following steps: collecting facial expression and body posture data of a user through a visual perception unit, collecting intonation, speed, volume and keyword data through a voice perception unit, and carrying out the recognition of the speech, speed, volume and keyword data; data preprocessing and feature extraction are carried out; secondly, carrying out time sequence modeling on the extracted visual and voice features based on a recurrent neural network, and generating visual and voice time sequence feature vectors; the method comprises the steps that firstly, time sequence features are extracted, then, a multi-mode fusion model based on an attention mechanism is adopted, the time sequence features are fused into a comprehensive emotion feature vector used for emotion state classification, and finally, personalized interaction content such as voice, expressions and limb actions matched with the emotion state of a user is generated according to an emotion classification result. According to the method, the accuracy of robot emotion perception and the naturalness of man-machine interaction are remarkably improved, and the method is suitable for multi-scene application of education, medical treatment, old-age care and the like.

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 the technical field of intelligent old-age care services, and discloses an application method and system of an AI accompanying robot in a medical-care fusion scene, and the method comprises the steps: carrying out the health level evaluation of an accompanying target object, and obtaining the health level of the object; analyzing the emotional state of the accompanying target object by using the AI accompanying robot, and constructing an emotional adjustment instruction of the accompanying target object; the optimal interaction volume of the AI accompanying robot about the accompanying target object is calculated, interaction prompt voice is sent to the accompanying target object through the AI accompanying robot, and interaction voice data and interaction gesture data of the accompanying target object are collected; analyzing voice intention features corresponding to the interactive voice data, and extracting gesture motion situations corresponding to the interactive gesture data; the AI accompanying robot is used for executing accompanying nursing treatment on the accompanying target object, and a nursing result is obtained. The main purpose of the invention is to solve the problem that the application effect of the AI accompanying robot in the medical-care fusion scene is reduced.

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 present invention discloses a smart agricultural product traceability and health evaluation method based on Beidou grid code, comprising the following steps: obtaining regional information, planting information and sales information of agricultural products, encoding the area where agricultural products are planted through Beidou grid code; associating the regional information, planting information and sales information of agricultural products with Beidou grid code, storing the regional information, planting information and sales information of agricultural products in a traceability database; setting a companion robot to obtain the regional information, planting information and sales information of agricultural products, and setting fuzzy evaluation rules for agricultural products; the companion robot makes health evaluation suggestions according to the fuzzy evaluation rules for agricultural products. The planting plot and planting area information of agricultural products are obtained through the Beidou navigation system. The present invention can realize the traceability of the planting and sales information of agricultural products, and provide dietary suggestions for the elderly based on the planting and sales information of agricultural products.

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.

A method for controlling a laser pointer projection of a pet companion robot device to interact with a pet includes the steps of: determining a focal length 1 of the camera; determining a height difference Δy between the at least one laser pointer steering motors of the laser pointer and the camera; determining a horizontal viewing angle α of the camera, a corresponding horizontal viewing range is (−α / 2, α / 2); determining a vertical viewing angle β of the camera, a corresponding vertical viewing range is (−β / 2, β / 2); determining whether the touch screen of the wireless remote-control device is touched; when the touch screen of the wireless remote-control device is touched, determining the corresponding coordinates (i, j); calculating an angular difference Δθ between the camera and the at least one laser pointer steering motors; and calculating a horizontal steering motor rotation angle θx; calculating a vertical steering motor rotation angle θy.

The invention relates to the technical field of health care accompanying robots, and particularly discloses a memory optimization system for an intelligent health care accompanying robot, which comprises the following steps: acquiring state data of a first application program and a time sequence of memory resource usage amount; embedding coding of state data of the first application program and time sequence association of the memory resource usage amount of the first application program are carried out by utilizing a data analysis and coding mode based on deep learning; therefore, whether memory cleaning operation is executed on the first application program or not is intelligently judged according to semantic alignment fusion representation between the application program state embedded coding feature and the application program memory resource usage amount time sequence implicit association feature. In this way, the condition of the application program memory can be accurately recognized, and misjudgment possibly caused by a traditional static rule is effectively avoided. Moreover, the optimization strategy can be automatically adjusted according to different equipment and user behavior modes, and the method does not need to depend on a fixed rule set, so as to better adapt to diversified application scenes.

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 present invention relates to the technical field of intelligent robots, and particularly relates to an intelligent companion robot for the use of the elderly. The present invention provides such an intelligent companion robot for the use of the elderly, which includes a robot main body and a guard plate. The guard plate is connected to the front side of the robot main body. It also includes a support shaft, a frame body, a protective shell, a turntable, a medicine storage tray and a discharging assembly. Support shafts are respectively connected to the left and right sides inside the guard plate, and a frame body is rotatably connected between the support shafts. A protective shell is provided on the front side of the frame body and is fixed by a clamping method. The interior of the medicine storage tray is divided into multiple compartments by partitions, and can orderly store the daily medicines required by the elderly. The robot will remind the elderly to take medicine at a preset time. When taking medicine, by pushing the turning handle, the baffle plate is moved to achieve the discharging of one portion of the medicine. After taking the medicine, the medicine storage tray automatically rotates to align the next compartment filled with medicine with the notch, ensuring the accuracy and orderliness of medicine taking.

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. Name of the product of this design: Graphical user interface created by dialog window of display screen panel. 2. Purpose of this design product: used for displaying information and interaction. 3. The design highlights of this appearance design product are the graphical user interface content on the screen. 4. The picture or photo that best illustrates the key points of the design: Design 3 main view. 5. The display screen panel is of conventional design and other views are omitted. 6. Designate Design 3 as the base design. 7.Purpose of Graphical User Interface: In the application interface, create a dialogue or comparison window for one or more models. In the main view interface of Design 1, the user clicks the New Dialogue Window button, the interface enters the Design 1 Change State Diagram 1, and creates a new dialogue message. The user enters keyword information in the input box, and the interface enters the Design 1 Change State Diagram 2, and automatically replies to the user's dialogue message; in the main view interface of Design 2, the user clicks the New Dialogue Window button, the interface enters the Design 2 Change State Diagram, and creates a new dialogue message; in the main view interface of Design 3, the user clicks the New Comparison Window button, the interface enters the Design 3 Change State Diagram, and creates comparison information of two different models; the main view of Design 4 and the main view of Design 5 respectively display the comparison information of keywords; the main view of Design 6 displays the dialogue information of keywords; in the main view interfaces of Design 4 to Design 6, the user clicks the function buttons in the left operation bar to interact. The gray frame part in the graphical user interface of this design product is the content screen, for example, the gray frame part is a picture, and the X part represents text and / or numbers. The display screen panel is used in mobile phones, car computers, speakers with screens, companion robots, leisure and entertainment robots, smart TVs, tablet computers, portable computers, desktop computers, navigation systems, car smart rearview mirrors, driving recorders, smart watches, and head-up displays (HUDs).

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.