103 results about "Robot communication" patented technology

The invention provides an intelligent barn automatic inspection system and method, and relates to the technical field of intelligent inspection, the system comprises an inspection robot, a 5G communication transmission module and a remote computer, the inspection robot comprises an environment sensing module for generating and updating an environment map and identifying obstacle information; the autonomous navigation control module comprises a path planning unit for generating an inspection path and performing local path adjustment; the obstacle avoidance unit is used for generating an obstacle avoidance strategy; the motion control unit controls the movement of the inspection robot; the data acquisition module is used for acquiring information in the granary; the data processing and analyzing module is used for processing and analyzing the collected multi-source data and outputting a monitoring report and early warning information; wherein the 5G communication transmission module is connected with the inspection robot and the remote computer, and is used for transmitting data output by each module in the inspection robot and receiving an instruction sent by the remote computer. According to the invention, real-time sensing, intelligent obstacle avoidance and autonomous inspection of the granary environment are realized.

The invention provides a heterogeneous robot cluster management platform and a management method thereof, a scheduling management platform for uniformly managing and scheduling heterogeneous robots is designed, and an MES interface management layer performs data interaction with a factory MES system; the resource management layer manages robot states, task queues, operation resources, data service functions and the like; the scheduling algorithm layer manages and schedules tasks and robot operation according to resource occupation conditions; the task execution layer issues a scheduling instruction to the robot and collects data of the robot and the sensor. The communication management layer realizes identification (such as a known protocol and an unknown protocol), calling and adaptive learning with a robot communication protocol, and data interaction with the user interface layer; the user interface layer presents user-level interface data and imports a data protocol analysis result to the communication management layer. Various robots are incorporated into a unified management scheduling platform, so that the complexity of the system is effectively reduced, and the safety and reliability of the production system are improved.

The invention relates to the technical field of industrial robots, in particular to an industrial robot automatic testing method and system, and the method comprises the following steps: based on a robot communication interface, collecting a communication signal of a robot, measuring the delay of signal transmission, verifying the integrity of transmission data, and evaluating the quality of a communication link; and generating a signal quality analysis result. According to the method, accurate evaluation of the communication quality of the robot and construction of a path planning task and a dynamic test environment are realized by collecting communication signals, deep evaluation of the path planning capability of the robot is provided, and measurement of the execution precision of the robot is realized by combining deviation identification of an actual execution path and a target path; a sensor is used for collecting vibration data under various loads, abnormal vibration of the robot under load changes is monitored in real time by analyzing vibration amplitude and frequency changes, the stability and performance of the robot under various load conditions are diagnosed, and the load bearing capacity of the robot is judged.

The invention discloses a multi-machine collaborative mobile measurement robot path control method, which belongs to the technical field of path planning, and specifically comprises the following steps: collecting surface height information of a target area, and binding the surface height information with geographic coordinates to generate a simplified three-dimensional model; based on the sun moving trajectory data in the current season, calculating an accumulated time length distribution diagram of receiving direct sunlight by each coordinate point on the ground in the current time period; dividing a high sunlight intensity region and a continuous shadow region according to the cumulative duration distribution diagram, and carrying out topological association on the coordinates of the target point to be measured and the continuous shadow region; establishing a dynamic path distribution protocol in a multi-robot communication network, enabling each robot to select a non-overlapping measurement path in a path network formed by continuous shadow areas according to a real-time position and a task queue, and updating a path occupation state through periodic broadcast; according to the invention, the path planning of the mobile measurement robot in the urban high-temperature environment is optimized.

The invention discloses a wheeled robot distributed safety control method based on a control barrier function, and the method comprises the following steps: S1, building multi-robot communication, so as to enable each robot to exchange state information with a neighbor robot in a limited communication range; the state information comprises position information and speed information; s2, designing a distributed formation controller according to the formation control target; s3, constructing a distributed control obstacle function; s4, constructing a distributed safety controller for each robot according to the distributed control barrier function; s5, constructing an overall safety barrier function for verifying the overall safety of the robot; and S6, deploying the distributed security controller obtained in the step S4. According to the invention, basic topological obstacle avoidance can be realized, self-constraint of each agent is practically ensured, and internal and external consistent security is realized.

The invention discloses a robot communication control system and method based on a core control module, and relates to the technical field of communication control. The method comprises the following steps: acquiring tasks to be processed in a working area, dividing the tasks into different priorities, acquiring distribution coefficients of different tasks to be processed in combination with equipment information of a robot, performing task distribution on the different tasks to be processed, acquiring a channel evaluation coefficient of the robot, and performing channel optimization on the channel evaluation coefficient. The method comprises the following steps: acquiring a communication topological graph in a working area and topological coefficients of different robots, performing topological reconstruction on the communication topological graph by utilizing the topological coefficients, acquiring predicted topological coefficients of the different robots, and performing topological pre-reconstruction on the robots by utilizing the predicted topological coefficients; the flexibility of task allocation can be effectively improved, and the communication connection conditions of different AGVs and mechanical arms can be dynamically adjusted in combination with multiple influence factors.

The invention belongs to the technical field of robot communication interaction, and relates to an equipment capability self-description and negotiation method and device, an upper computer and a storage medium. The peripheral equipment is powered on to issue an equipment access instruction, so that the upper computer obtains the types and the number of the peripherals in the system in real time; state and capability information is obtained based on a unified standard frame, operation parameters and controllable range structuring are achieved, and a basis is provided for unified control; a control instruction template is automatically generated according to the information, multiple sets of adaptive logics are not needed, cross-device instruction and strategy multiplexing is supported, and the extension and operation and maintenance cost is reduced; the target execution instruction is issued through the preset verification strategy, problems can be found in advance when parameters cross boundaries or condition conflicts occur, wrong execution is avoided, the system stability is improved, peripheral automatic identification, capability unified expression, instruction template automatic generation and safe execution are achieved, and the compatibility and reliability of a robot system in a multi-device environment are enhanced.

The invention discloses a robot control system and method based on AI voice, and belongs to the technical field of robot intelligent control. The system comprises a local voice processing module, a dialogue management and context understanding module, an instruction mapping and generating module and a robot communication and control module. The local voice processing module is integrated with a 16 kHz sampling ASR engine, voice-to-text conversion is realized through a 6-layer LSTM network and beam search decoding, and the TTS engine adopts a WaveNet architecture to synthesize voice. A 7 billion parameter large language model is arranged in the dialogue management module, a 32-layer Transform decoder architecture is adopted, 10 rounds of dialogue history is maintained, and intention recognition and entity extraction are achieved through a multi-head self-attention mechanism. And the instruction mapping module performs trajectory planning by adopting quintic polynomial interpolation and quaternion spherical linear interpolation. According to the invention, full-link localization processing is realized, the speech recognition delay is 180 milliseconds, the position error is less than 0.5 mm, and the problems of high delay, high privacy risk and weak complex instruction understanding ability in the prior art are effectively solved.

The invention relates to the technical field of robot communication control, in particular to a recoverable buoy system for a modular underwater robot and a control method.The buoy comprises a shell, a communication module and an acquisition module, and an adjusting module comprises a buoyancy adjusting mechanism and a gravity center adjusting mechanism; the buoyancy adjusting mechanism adjusts the action of an electromagnetic valve according to the buoy depth to realize buoyancy adjustment, and the gravity center adjusting mechanism adjusts the gravity center position according to a preset gravity center position and a gravity center adjusting curve; the power module comprises a first power set and a second power set. The control module is used for determining the adjusting mode of the buoyancy adjusting mechanism, the adjusting mode of the gravity center adjusting mechanism and the adjusting mode of the power module. And the power supply module realizes effective positioning and flexible release and recovery of the buoy, and promotes the same-speed cooperative movement and real-time communication of the buoy and the underwater robot.

The invention discloses a three-dimensional multi-robot positioning initialization method and system based on double UWB anchor points, and belongs to the technical field of multi-robot cooperation. In order to solve the problem that multi-robot initialization depends on multi-anchor calibration and cross-machine communication in a GNSS missing environment, two static UWB anchor points which do not need to be accurately calibrated are deployed, a single robot independently completes sensor initialization and non-degeneration motion data acquisition, and the positions of the anchor points are solved through nonlinear optimization based on a UWB ranging sequence and an IMU gravity vector, so that the accuracy of multi-robot initialization is improved. And constructing a unique three-dimensional global coordinate system according to a right-hand rule, realizing the conversion from a local pose to a global pose, and ensuring the result reliability through quality self-evaluation. According to the method, cross-robot communication or centralized optimization is not needed, the deployment cost is low, the environmental adaptability is high, asynchronous online of multiple robots is supported, the initialization precision is high, the robustness is good, and the method is suitable for multi-robot collaborative operation in complex scenes such as tunnels, mines and warehouses.

The invention discloses an automatic submersible motor stator straightening device, which comprises a rotary supporting mechanism, a traction mechanism, a stretching and lifting mechanism, a translation mechanism and a control system, and is characterized in that the rotary supporting mechanism is used for supporting the periphery of a stator and driving the stator to rotate; the traction mechanism is used for installing the detection rod and dragging the detection rod to stretch into the stator to move in the axial direction of the stator. The stretching and lifting mechanism is used for driving the detection rod to move up and down to align the center of the detection rod to the stator center; the translation mechanism is arranged on one side of the rotary supporting mechanism, a robot is arranged on the translation mechanism, the direction in which the translation mechanism drives the robot to move is parallel to the axial direction of the stator, and a spray burning assembly and a cooling assembly are arranged on the robot so as to straighten the stator; the control system is in communication connection with the rotary supporting mechanism, the traction mechanism, the detection bar, the stretching and lifting mechanism, the translation mechanism and the robot. Intelligent equipment is used, manual direct operation is not needed, the working intensity is reduced, and the product straightening precision is improved.

The invention discloses a humanoid robot-oriented interconnection communication system and method based on machine learning, and relates to the field of robot communication. Through collaborative integration of visible light and infrared light communication facilities, the high bandwidth characteristic of visible light communication is reserved, the interference problem in a complex environment is solved by using infrared light, and the communication efficiency is improved. Complementarity communication guarantee is formed; by means of the dual-band design, the anti-electromagnetic interference capacity in an industrial scene is remarkably improved, and time delay can be controlled at the microsecond level; based on correlation analysis of filter parameters of historical task data and damping of a damping bracket, an external cause-success rate mapping model is constructed, so that a robot can dynamically adjust mechanical and communication parameters according to real-time working conditions; traditional fixed threshold value control is upgraded into self-adaptive adjustment, and the method is suitable for a high-precision control scene; through combined adjustment of filter parameters and damping of the damping support, limitation of single module optimization is broken through.

The utility model provides a robot communication system and a cleaning robot, the robot communication system comprises a first communication module arranged on a cleaning robot body, a second communication module arranged on remote control equipment and a third communication module arranged on mobile water supply equipment, the first communication module comprises a first short-range communication circuit, and the second communication module comprises a second short-range communication circuit; the second communication module comprises a second short-range communication circuit and a remote communication circuit, and the third communication module comprises a third short-range communication circuit; the second short-range communication circuit is used for realizing short-range communication connection between the remote control equipment and the cleaning robot body through short-range wireless connection with the first short-range communication circuit, and realizing short-range communication connection between the remote control equipment and the mobile water supply equipment through short-range wireless connection with the third short-range communication circuit; and the remote communication circuit is used for realizing remote communication connection between the remote control equipment and the remote server. And the short-range communication module and the remote communication module are combined for use, so that energy consumption is reduced.

The invention discloses a visual guidance workpiece placing device and method based on feature recognition, and the device comprises a tool bottom plate which is provided with a workpiece placing station, and the front end and the rear end of the workpiece placing station are each provided with an image collection module; the intelligent guide vehicle travels on the tool bottom plate and is used for carrying vehicle parts, positioning identification assemblies are arranged at the front end and the rear end of the intelligent guide vehicle, and when the intelligent guide vehicle travels to the workpiece placing station, positioning columns in the positioning identification assemblies are arranged opposite to the image acquisition module, so that the image acquisition module acquires target position information of the positioning columns; the part placing robot is arranged on the side face of the tool bottom plate and used for placing the vehicle parts on the intelligent guide vehicle. And the control module is in communication connection with the intelligent guide vehicle, the image acquisition module and the workpiece placing robot and is used for calculating offset information according to the target position information and the preset position information and generating a workpiece placing track according to the offset information so as to control the workpiece placing robot to accurately place workpieces.

Techniques for the use of verbal commands in human-robot communication. The number of tasks the robot can perform is limited to a specific set, while providing syntactic flexibility to users. The system includes two components: a speech recognizer for speech-to-text conversion and a natural language understanding module that maps the text to a command for the robot. After speech is transcribed to text, a nearest neighbor classifier can be applied in the high dimensional space of embedding tokens. Multiple variants of each command are provided in a database of reference embeddings, and the classifier can identify the k nearest reference embedding tokens to determine the command. The text similarity model allows for quick detection solutions to be deployed locally on a robot or other device. Local deployment reduces potential latency caused by a cloud connection, which can be important in many assistant robot applications.

The present application relates to the field of robot communication technology, and discloses a communication method for multi-robot collaborative operation. The communication method includes: obtaining the first state parameter and the first timestamp of the robot collected by each controller; the first state parameter and the first timestamp correspond one to one; synchronizing the timestamps of the multiple first state parameters and the first timestamp to obtain multiple second state parameters with the same timestamp; encapsulating the multiple second state parameters into a state parameter frame, and sending the state parameter frame to the upper software; obtaining the control instruction frame corresponding to the state parameter frame through the upper software; according to the control instruction frame, feeding back the corresponding control instruction to each controller, so that each controller can control its corresponding robot. The use of this communication method can improve the collaborative operation effect of different types of robots. The present application also discloses a communication device and communication middleware for multi-robot collaborative operation.

The invention discloses a robot cluster optical network communication method and system based on optical communication data, and relates to the field of robot communication, and the method comprises the steps: carrying out the logic partitioning of a robot based on a coupling communication link and a partitioning instruction of a central control module; the robots establish an optical communication network between the robots in each logic partition according to the logic partitions and an autonomous posture adjustment positioning mechanism; carrying out local ordering on each logic partition based on a partition two-way bubble merging sorting algorithm; determining a minimum robot, a maximum robot and boundary information of each logic partition according to a fuzzy immune clone selection algorithm; data merging and boundary ordering are carried out between the logic partitions; and performing global broadcasting according to the distributed negotiation model. According to the method, the problems of low efficiency, wireless communication bottleneck and consistency of existing distributed sorting are effectively solved through an integrated process of robot partition efficient sorting, boundary collaborative merging, distributed broadcast negotiation and the like.

The invention provides a machine vision system and device for identifying and guiding a robot to perform automobile toe-in adjustment, and the system comprises a user interface, an image collection module, a deep learning target identification module, a three-dimensional coordinate calculation module, a coordinate conversion module, and a robot communication guiding module. Real-time processing can be carried out on a color image and a point cloud image shot by an industrial camera, pixel positions of a nut and a screw can be accurately recognized, and three-dimensional space coordinates of the nut and the screw in a robot coordinate system are calculated; the deep learning target recognition module can efficiently and accurately position a target from a complex background based on a pre-trained model; the coordinate conversion module converts the visual information into a position instruction which can be executed by the robot; and the robot communication guiding module is responsible for sending the coordinate instruction to the robot controller to realize accurate motion guiding. The problems that traditional automobile toe-in adjustment depends on manpower, efficiency is low and precision is unstable are effectively solved, and time and economic cost can be saved.

The invention relates to the technical field of intelligent manufacturing, in particular to an intelligent manufacturing unit-oriented integrated industrial robot control system, which comprises an integrated control center, an initial interaction module, a task scheduling module, a dynamic collaboration module, a collaboration presentation module and an early warning response module, according to the method, identification, matching and testing of robot communication protocols are automatically completed, the equipment access time is remarkably shortened, meanwhile, it is ensured that all robots can stably complete data interaction, system access dead angles caused by protocol incompatibility are avoided, candidate equipment is screened based on production task requirements and the real-time states of the robots, and the production efficiency is improved. Meanwhile, the task execution error probability is reduced through multi-dimensional comprehensive evaluation and in combination with a load capacity deep screening robot, in addition, in the material grabbing link, center deviation is judged through visual comparison, re-grabbing or abnormal early warning is automatically triggered, production stagnation caused by material grabbing errors is reduced, along with reasonable path planning, the production efficiency is improved, and the production cost is reduced. And the robot driving path safety is ensured.

The application relates to the field of somatic household robot communication and control, in particular to a wireless data processing method and device for a somatic household robot and a robot. In view of the problems that in existing robot communication, full-amount transmission of bus data leads to heavy burden of a wireless link, key data is difficult to be delivered in time, real-time performance and resource utilization are insufficient, a processing scheme is provided, in which intelligent forwarders collect communication total data on the robot side, and switch between full-amount forwarding and semantic filtering according to the state of the collected data; when semantic filtering, preset key data is extracted and sent to a target functional module. The scheme can reduce the occupation of wireless bandwidth by invalid or low-value data, improve the timeliness and reliability of key control and state information transmission, and enhance the communication flexibility and overall control efficiency in a dynamic deployment scene.

A robot communication control system and method based on a core control module, relating to the field of communication control technology, is disclosed. The system acquires tasks to be processed within a working area and classifies them into different priorities. It then obtains allocation coefficients for different tasks based on robot equipment information, allocates tasks accordingly, acquires and optimizes the robot's channel evaluation coefficients, obtains a communication topology map of the working area and topology coefficients for different robots, performs topology reconstruction using the topology coefficients, acquires predicted topology coefficients for different robots, and performs topology pre-reconstruction for the robots using the predicted topology coefficients. This effectively improves the flexibility of task allocation and allows for dynamic adjustment of the communication connections between different AGVs and robotic arms based on multiple influencing factors.

A power distribution network live working robot communication channel dynamic allocation method and system, the method comprising: inserting an encrypted network card into a robot interface, the robot connecting with an external network where an operation and maintenance platform is located through the encrypted network card and establishing a communication channel; evaluating the quality of the communication channel between the robot and the operation and maintenance platform to obtain an evaluation value; when the evaluation value is less than a first threshold value, inputting a feature matrix vector constructed from the priority of a data transmission task, a time decay factor, a traffic entropy value, a communication channel signal strength and a heartbeat packet loss rate into an idle channel identification model to output an idle probability; when the idle probability is greater than a preset idle threshold value, determining whether a recovery condition is met, and when the recovery condition is met, deleting the communication channel, releasing bandwidth resources and reallocating the bandwidth resources for other tasks. The application dynamically allocates the communication channel while ensuring the safety of the work, thereby improving the resource utilization rate.

The invention discloses a mobile energy storage robot communication scheduling method for energy scheduling, and relates to the field of energy scheduling and communication scheduling, and the method comprises the steps: obtaining the demand data of an area needing energy scheduling and the real-time state data of a mobile energy storage robot; a layered state acquisition mechanism is adopted, and an exclusive communication time slot is distributed to each robot; calculating the accumulated length of a road and the predicted driving time, and obtaining an initial candidate robot set; based on a greedy algorithm, screening a final mobile energy storage robot combination as an optimal scheduling scheme; constructing a communication signal quality evaluation model, and dynamically adjusting robot replacement scheduling based on the optimal scheduling scheme; and dynamically adjusting a communication link between the robot and the base station by combining the position of the communication base station and the boundary coordinates of the base station. The method has the advantages that in a large-scale mobile energy storage robot cluster scene, efficient, reliable and adaptive cooperation of energy scheduling and communication scheduling is realized.

The present invention discloses a ground obstacle map marking method, a mobile robot and a storage medium, and relates to the field of mobile robot technology. The technical key points of the method include reading a color image from a depth camera; detecting and identifying obstacles in the color image using a recognition model trained by deep learning, and generating an obstacle boundary box based on the identified obstacles; mapping the obstacle boundary box of the color image in the depth camera to the depth image, and obtaining the detection boundary box in the depth image; calculating the depth distance between the obstacle and the robot based on the boundary box in the depth image; obtaining the position coordinates of the robot in a three-dimensional coordinate system, and calculating the position coordinates of the obstacle in the map coordinate system; the robot communicates with a client, and sends the position coordinates of the obstacle in the map coordinate system to the client. The present invention has the advantage of reducing the workload of cleaners in subsequent obstacle searches.

The invention discloses a high-speed wireless transmission system for real-time communication of a six-axis spraying robot, and relates to the technical field of robot communication.The high-speed wireless transmission system comprises the six-axis spraying robot, a central control unit, a wireless communication module and an environment sensing module, and the wireless communication module is based on a multi-frequency dynamic switching self-adaptive wireless transmission protocol; the working frequency band can be adjusted in real time according to the wireless signal interference intensity in the spraying environment, and bandwidth allocation and signal power are dynamically optimized. By designing a self-adaptive wireless transmission protocol with multi-frequency dynamic switching, a communication multi-frequency-band dynamic switching function is realized, the problems that electromagnetic interference of an industrial painting workshop is complicated, and communication is unstable and even interrupted due to the fact that traditional fixed-frequency-band transmission is easily interfered by signals are solved, the anti-interference capability of wireless communication is improved, and the communication efficiency is improved. Signal loss and delay are reduced, and real-time performance and stability required by high-precision operation of the six-axis spraying robot are guaranteed.

The invention discloses a key node identification method and device, equipment, a storage medium and a product, and relates to the technical field of communication, and the key node identification method comprises the steps: responding to a key node identification instruction, and obtaining global node accessibility and inter-node shortest path information through iteration based on a maximum consensus protocol; based on the global node reachability and the information of the shortest path between the nodes, constructing a connectivity relationship set, and constructing a connected component set according to a union lookup set algorithm; and judging whether the current node is a key node or not based on the connection relation set and the connection component set. Based on cooperative application of the maximum consensus protocol and iterative communication, efficient integration and accurate mastering of global information can be achieved, then the real communication relation between the nodes is determined, accurate recognition of the key nodes is finally completed, the accuracy of key node recognition is remarkably improved, and the recognition efficiency of the key nodes is improved. The robustness of the multi-robot communication network is accurately evaluated.

Systems and methods for human-robot communication. More particularly, some embodiments use augmented reality to facilitate communication of robot intention and teleoperation in human-robot cooperative environments. Various embodiments of the present technology provide a middleware that integrates augmented reality (AR) with novel teleoperation interfaces to increase operation effectiveness, support the user in conducting concurrent work, and decrease stress. Various embodiments provide predictive graphical interfaces such that a teleoperator controls a virtual robot surrogate, rather than directly operating the robot itself, providing the user with foresight regarding where the physical robot will end up and how it will get there. In accordance with various embodiments a user may select between two AR interfaces using such a surrogate: one focused on real-time control and one inspired by waypoint delegation.

The invention relates to the technical field of intelligent control and robots, in particular to a multi-site robot equipment online state monitoring method based on the Internet of Things, which comprises the following steps: in response to a communication signal sent by robot equipment, determining communication link connectivity between the robot equipment and a monitoring system; monitoring a phase line current signal of a joint motor in the robot equipment, and determining a target frequency band energy ratio of the phase line current signal and a calculated joint speed change rate calculated based on the phase line current signal; based on the target frequency band energy ratio and the calculated joint speed change rate, the actual physical operation state of the robot equipment is determined; and according to the state contradiction degree between the communication link connectivity and the actual physical operation state, the reliable online state of the robot equipment is determined. According to the invention, the robot communication interruption state and the real offline state can be accurately distinguished.

A robot for autonomous marking of a marking area includes: a robot communication system configured to at least receive a marking information data element from a remote component, and a controlling component configured to control the robot based, at least in part, on the marking information data element. A remote component includes a remote communication unit, wherein the remote component is configured to communicate, by the remote communication unit, with the autonomous robot for marking a marking area. A method and system for autonomous marking of a marking area includes the robot and the remote component, wherein: the remote component is configured to generate a marking information data element based on marking data, the remote component is configured to send the marking information data element to the robot, and the robot is configured to mark the marking area based on the marking information data element.

The utility model provides a kind of robot charging pile, power module is equipped in shell, power module includes AC adapter, power switch and charging output spring piece, AC adapter is connected with commercial power, the input end of power switch is electrically connected to the output end of AC adapter, the output end of power switch is electrically connected to charging output spring piece, still be equipped with charging in place detection mechanism on shell;AC adapter is electrically connected with DC-DC power conversion module, the power output end of DC-DC power conversion module is electrically connected with main control communication module;Charging in place detection mechanism includes spring piece detection circuit, spring piece detection circuit is connected with main control communication module communication, main control communication module is connected with power switch communication, main control communication module can be connected with robot communication.By charging in place detection mechanism, whether robot contacts charging output spring piece is detected, and main control communication module is set and robot communication, whether charging pile is charged is fed back to other robots.