74 results about "Robot communication" patented technology

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 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 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 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 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 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.

The present application provides a kind of concrete detection system, comprising: track, it is arranged in the inside of building machine, and it is arranged along the periphery of concrete wall surface;Concrete detection robot, it includes for driving the drive component of concrete along the track movement and the detection component for detecting concrete wall surface, the concrete detection robot is hung on the track;Intelligent rebound apparatus, it is connected with the concrete detection robot communication.This application can carry out the automatic detection evaluation of concrete surface quality, strength, temperature and humidity and other indicators, can effectively replace artificial detection, shorten detection cycle, avoid personnel injury, while the quantification of detection result is beneficial to the establishment of accurate mathematical model, is conducive to the evaluation and feedback of detection result, improve the accuracy and rapidity of concrete quality detection.

The application provides a spacer mounting robot communication control system, which comprises the following steps: preloading a preset path of an execution mechanism and line environment parameters through a ground end communication module, combining satellite remote sensing data to predict the shielding risk of a work area to generate a corresponding scene risk map; collecting actual control instructions and running state data of the execution mechanism through a sky end communication module, synchronously generating a target control strategy adapted to the execution mechanism according to the actual control instructions and the running state data based on the scene risk map; issuing the target control strategy to the execution mechanism to enable the execution mechanism to complete corresponding execution actions; when the shielding risk of the work area reaches a preset risk threshold or the signal strength attenuation exceeds a preset attenuation threshold, triggering a dual-mode link mode in advance to build a stable connection between the sky end communication module and the ground end communication module. The application can realize stable communication of the robot and improve the control efficiency.

The invention discloses a multi-arm variable-structure robot communication switching framework, and belongs to the technical field of robot communication. The problem that when the working mode of an existing multi-arm variable-structure robot is changed, an internal communication network of the multi-arm variable-structure robot cannot be adjusted in a self-adaptive and dynamic mode is solved. A plurality of mechanical arms are independently connected to a robot trunk at the same time in a parallel connection mode, and the mechanical arms are connected with a bus interface unit through an interface at one end and a quick-change interface to be configured to be in a remote terminal mode; at least two mechanical arms are connected in series and then connected with the robot trunk in a series connection mode, and a bus interface unit, connected with the robot trunk, of the first-stage mechanical arm is configured to be in a remote terminal mode. The interface at the other end is connected with a mechanical arm serving as a secondary mechanical arm through the adapter, the bus interface unit corresponding to the interface at the other end is configured to be in a bus controller mode, and the bus interface unit corresponding to the secondary mechanical arm is configured to be in a remote terminal mode. The method is used for mechanical arm self-adaptive communication.

The invention discloses a distributed multi-robot cooperative control method, a distributed multi-robot cooperative control system and electronic equipment, belongs to the technical field of robot control, provides guarantee for multi-robot motion control and signal transduction through construction of a robot motion model and a multi-robot communication topology model, and provides a multi-robot cooperative control method and system through collision risk rejection calculation. A collision risk avoiding instruction is obtained to ensure that the multiple robots do not collide with other robots or obstacles in the advancing process, then the safety degree of obstacle bypassing is improved through a safe bypassing instruction, and finally a multi-robot cooperative control instruction is generated and sent to all the robots according to a leading and following communication structure. Reasonable obstacle avoidance, exclusion of adjacent robots and communication cooperation capability of the robots are improved, safety and transportation efficiency of the robots in a transportation path are improved, collision is effectively avoided, and safe cooperative transportation of the multiple robots is guaranteed.

The utility model relates to the technical field of robot butt joint, in particular to a robot butt joint guide structure which comprises a first butt joint mechanism and a second butt joint mechanism used for being matched with the first butt joint mechanism. The second butt-joint mechanism is provided with a second butt-joint frame and a second butt-joint connector, the first butt-joint connector is arranged in the first butt-joint frame, the second butt-joint connector is arranged in the second butt-joint frame, the first butt-joint frame is provided with a first butt-joint part, the second butt-joint frame is provided with a second butt-joint part, and the first butt-joint part is used for being matched with the second butt-joint part. Therefore, the first butt joint mechanism is connected with the second butt joint mechanism, the first butt joint connector is in butt joint with the second butt joint connector, and communication connection of the robot is achieved. Robot communication connection is achieved, and stable data transmission is guaranteed. And the butt joint stability and reliability of the robot are effectively enhanced.

The application provides a spacer mounting robot communication control system, which comprises the following steps: preloading a preset path of an execution mechanism and line environment parameters through a ground end communication module, combining satellite remote sensing data to predict the shielding risk of a work area to generate a corresponding scene risk map; collecting actual control instructions and running state data of the execution mechanism through a sky end communication module, synchronously generating a target control strategy adapted to the execution mechanism according to the actual control instructions and the running state data based on the scene risk map; issuing the target control strategy to the execution mechanism to enable the execution mechanism to complete corresponding execution actions; when the shielding risk of the work area reaches a preset risk threshold or the signal strength attenuation exceeds a preset attenuation threshold, triggering a dual-mode link mode in advance to build a stable connection between the sky end communication module and the ground end communication module. The application can realize stable communication of the robot and improve the control efficiency.

The invention relates to the technical field of communication, in particular to a robot communication control method and system.The method comprises the steps that a control signal of a robot for executing a welding program is obtained through a multi-protocol communication interface, and the control signal comprises time sequence data of current and voltage; performing multi-dimensional edge analysis on the control signal by adopting a dynamic threshold detection algorithm, and generating a state evaluation value in a preset control period; when the state evaluation value meets a termination condition, a self-adaptive monitoring module is started, fault-tolerant verification of a welding termination signal is executed in a set time window, and a final welding completion judgment instruction is generated according to a verification result; the stability and accuracy of the welding process can be ensured.

This invention discloses a biomimetic forehead conformal antenna and its application in robot broadband communication, belonging to the field of robot communication antenna technology. The antenna is an arc-shaped conformal rigid structure mimicking the human forehead, consisting of a radiating layer, an impedance-gradient dielectric layer, and a metal grounding support layer from top to bottom. The radiating layer integrates multi-band radio frequency communication radiating units; the impedance-gradient dielectric layer adopts a fully passive gradient structure, achieving a voltage standing wave ratio (VSWR) ≤1.6 within the 2.4GHz to 6GHz frequency band; the antenna is fixedly integrated with the robot head through the metal grounding support layer. This invention eliminates the need for active tuning circuitry, features low bulge, low wind resistance, high isolation, and high gain, and supports concurrent communication across all frequency bands including WiFi, 5G Sub-6G, UWB, and Bluetooth.

The application belongs to the technical field of mobile robot communication control, and provides a mobile robot control system, which comprises a mobile robot and a base station, the base station is provided with a first auxiliary function module; the mobile robot is in communication connection with the base station; the mobile robot is in communication connection with a first cloud platform; the first cloud platform receives a control instruction sent by a terminal device and analyzes and sends the control instruction to the mobile robot, the mobile robot sends the analyzed control instruction to the base station to control the first auxiliary function module to execute a target operation; wherein the first cloud platform is provided with a program interface for providing a developable program, the developable program is configured to be modified according to the first auxiliary function module. Through the application, the first auxiliary function module set by the base station is controlled to execute a target operation through the first cloud platform connected with the mobile robot, the first auxiliary function module of the base station end is controlled through the mobile robot end, and the user experience is improved.

The application discloses a multi-source instruction arbitration and safety degradation system for multi-robot terminals, and belongs to the technical field of embodied intelligence and industrial robot control. In order to solve the industry pain points that the priority parameter of the existing multi-source instruction arbitration scheme can be tampered with, the emergency instruction has no hardware isolation, the disconnection means losing control, and the interface is fragmented, the application adopts ROM / OTP to solidify five layers of priority and monitor tampering in real time; an independent hardware isolation path is configured for P0 atomic safety instruction, software non-preemption and hardware bypass dual protection are realized; based on heartbeat monitoring, differentiated disconnection degradation of all kinds of terminals such as unmanned aerial vehicles, ground robots, mechanical arms and underwater equipment is realized; and mainstream robot communication protocols are adapted through standardized control primitives and multi-protocol interfaces. The application can effectively eliminate multi-source instruction conflicts, improve the safety of unmanned system operation, and has strong universality and engineering landing value.

The present disclosure provides a robot communication method, which is applied to a first robot, and comprises: in a case where the first robot is capable of performing near-field communication with a second robot, acquiring second identity information of the second robot, and determining an identity of the second robot according to the second identity information; and upon determining that the second robot is a target robot of a target task and receiving a successful identity authentication notification message sent by the second robot, executing the target task. The present disclosure further provides a robot device and a computer-readable storage medium.

The application discloses an industrial robot cluster control method, system and network server, the industrial robot cluster comprises several robots, the control method comprises: obtaining state data affecting the communication or working state of the robot to obtain an initial data set; performing feature extraction processing on the initial data set to extract key features reflecting various state conditions of the robot in the initial data set, and forming a feature data set based on the key features; processing the feature data set based on a prediction model of a neural network architecture to predict the risk degree of the robot related to communication interruption; and adjusting the control strategy for the robot based on the risk degree, the control strategy being used for controlling the communication state and working state of the robot. The control method can effectively improve the stability of the robot communication, and can also adjust the working state of the robot to make the energy consumption of the robot within a reasonable range, so that the energy-saving effect of the industrial robot cluster is improved.

The invention provides a peripheral gateway communication architecture for a robot, which belongs to the field of robot communication and comprises a plurality of peripheral gateway modules and a first Ethernet switch, a hardware dial switch is configured on the peripheral gateway module and is used for configuring an IP address for the peripheral gateway module; the plurality of peripheral gateway modules are respectively connected with a downlink port of the first Ethernet switch through Ethernet cables, and are used for connecting at least one robot peripheral, acquiring peripheral data, packaging the peripheral data according to a predefined Ethernet protocol, and embedding a hardware timestamp in a data packet to form a standard uplink data packet; an uplink port of the first Ethernet switch is connected to the robot controller through an Ethernet cable, and the first Ethernet switch is used for receiving and forwarding a standard uplink data packet to the robot controller, receiving a downlink control instruction data packet of the robot controller, and forwarding the downlink control instruction data packet to a corresponding peripheral gateway module according to a target IP address.