106 results about "Robot operating system" patented technology

An autonomous traveling robot operation system that improves the ease with which an autonomous traveling robot is operated by using a voice input and a handwritten input is provided. An autonomous traveling robot operation system including: an autonomous traveling robot configured to shoot an environment near the autonomous traveling robot and operates an object to be operated; a handwritten input interface configured to display an image shot by the autonomous traveling robot and receive a handwritten input to the displayed image; and a voice input interface configured to receive a voice input to the object to be operated, in which the autonomous traveling robot operation system operates the autonomous traveling robot in such a way that the autonomous traveling robot operates the object to be operated in accordance with instructions of the handwritten input and the voice input is provided.

The invention provides a robot operating system and method based on hardware isolation and a dynamic task engine, belongs to the technical field of artificial intelligence, and aims to solve the problem that the real-time performance and the intelligence are bidirectionally opposite for a long time in an architecture level in the field of robots. The system comprises a heterogeneous multi-core SoC, a universal operating system deployed in a non-real-time domain, a kernel real-time operating system deployed in a real-time domain, an inter-core communication bus based on shared physical memory configuration and an integrated development tool chain based on a VSCode plug-in. The method comprises the steps that a robot operating system based on hardware isolation and a dynamic task engine is built; task generation, routing and deployment are carried out; and when the real-time domain executes the task, the high-frequency state data is reported to the non-real-time domain through the inter-core communication bus to form closed-loop cooperative control.

The invention provides a belt conveyor intelligent inspection robot and a control method thereof, and relates to the field of mechanical automation. The intelligent inspection robot for the belt conveyor comprises a robot body and a position sensor, the position sensor is arranged on the robot body, and the robot body carries a central processor developed based on a robot operating system of an ROS2 framework. The position information of the corresponding robot is obtained after the position information is processed by the central processor, and meanwhile, mapping is performed to obtain corresponding real-time map information, so that autonomous navigation of the robot can be performed after the position information of the robot and the corresponding real-time map information are obtained, obstacles are avoided, and the navigation efficiency of the robot is improved. And meanwhile, the current position of the robot can be obtained in real time, and the corresponding robot is set to move to the corresponding position of the belt conveyor for inspection, so that the practicability is higher than that in the prior art.

The invention relates to a human storage detection system and method based on robot multi-sensor cooperation. The human body detection system comprises a robot, a data acquisition module and a robot operating system, the robot operating system is arranged in the robot, the data acquisition module comprises a visual sensor, a laser radar sensor and a millimeter wave radar sensor, the visual sensor is arranged at the head of the robot, and the laser radar sensor is arranged at the tail of the robot. The millimeter wave radar sensor is arranged at the body part of the robot, the laser radar sensor is arranged at the bottom of the robot, and the visual sensor, the laser radar sensor and the millimeter wave radar sensor are all connected with the robot operating system. Through data fusion analysis of multiple sensors, the system can more accurately and comprehensively monitor and understand human body activities and physiological conditions thereof, and the monitoring accuracy and efficiency are improved.

The invention discloses a pharmacy intelligent robot and a system thereof, relates to the technical field of robots, and is technically characterized by comprising a voice interaction module, an image recognition module, a navigation module and a mechanical arm control module to realize automatic medicine management and distribution. The voice interaction module utilizes an AI model to improve the voice recognition efficiency and accuracy, the image recognition module adopts PaddleOCR to perform medicine name recognition, a Baidu oneself-speaking AI model is used to analyze prescription information, the navigation module adopts an SLAM technology to realize instant positioning and map construction, and the mechanical arm control module controls a mechanical arm to grab and place medicines. The system is based on a robot operating system ROS, and the operation method comprises the steps of receiving user voice, recognizing medicine, navigating to the medicine position and grabbing and placing the medicine. By integrating various technologies, the efficiency and safety of medicine sales are improved, and meanwhile, the customer experience is enhanced.

Disclosed is an surface-coating robot operating system, a movable base (100) is provided to drive the whole operating system to implement autonomous navigation movement in the workspace; a vertical linear actuator (200) is used to drive a mechanical arm (300) to move up and down so as to meet the requirement for spraying at different heights; and the mechanical arm (300) is used to drive a spray gun (400) to implement multi-degree-of-freedom motion so as to meet the requirement for spraying at different positions; the whole spraying process is autonomously completed by the operating system, which is time-saving and labor-saving, high efficient, and ensures uniform spraying thickness, smooth spraying surface and consistent spraying quality; the robotic spraying may obviously reduce the coating dusts generated in a spraying process and the human risk caused by exposure to harmful coating chemicals. An operating method for surface-coating robot is disclosed.

The invention relates to the technical field of robots, and discloses a cross-platform robot operating system and method, a robot and a medium, the system comprises an operating system layer, a function library layer and a distributed node layer; the operating system layer is configured to provide an application programming interface for accessing system resources for the function library layer based on preset operating systems, and abstracts differences among different preset operating systems through the application programming interface; the function library layer is configured to access system resources through an application programming interface and realize distributed communication based on a data distribution service protocol; the distributed node layer is used for realizing development and operation of application nodes, and the application nodes are mutually identified in a network based on distributed communication and establish communication channels; and the distributed node layer performs data interaction with an external robot operating system through distributed communication. The problem that in the prior art, a robot operating system is poor in compatibility and adaptability is solved.

The invention relates to the technical field of robot operating systems, and provides a communication topic monitoring diagnosis method and system based on an ROS 2 system, and the method comprises the steps: configuring global parameters, topic parameters and diagnosis rules; creating an independent monitoring thread for each topic; in each monitoring thread, creating a monitor instance for the corresponding topic; dynamically loading a message type corresponding to the topic by each monitor instance, establishing QoS (Quality of Service) configuration and creating a subscriber; after the message arrives at the monitoring thread, the subscriber receives the corresponding message, triggers a preset callback function, and obtains an original statistical data stream; creating an independent analysis thread for each topic; in each analysis thread, performing real-time statistical calculation on the original statistical data to obtain a structured analysis result; and comparing the structured analysis result with the diagnosis rule in real time, and outputting a specific problem description and a diagnosis result. The problem that topics cannot be monitored and diagnosed automatically in batches is solved.

The invention provides a coroutine task scheduling optimization method based on OpenHarmony, belongs to the technical field of industrial robot operation, and aims to solve the problem that an industrial robot is insufficient in real-time performance, concurrency and flexibility in a complex task scene, and the method comprises the following steps: S1, coroutine data structure design; s2, optimizing coroutine memory management; s3, multi-architecture processor adaptation is carried out; s4, optimizing a coroutine task scheduling mechanism; s5, carrying out coroutine multi-core scheduling optimization; the invention designs and realizes an industrial robot operating system library of a lightweight coroutine in order to realize coroutine task scheduling optimization. According to the coroutine library, the lightweight coroutine library which is lower in memory occupation, higher in task real-time performance and higher in CPU utilization rate is designed and realized aiming at the condition that resources are limited in a robot scene, and meanwhile, the coroutine library is introduced into a domestic robot operating system for real-time scheduling adaptation for the first time.

The present invention discloses a robot operating system and operating method supporting multimodal interaction, relating to the field of intelligent robotics. The system comprises: a data receiving module, a target object recognition module, an analysis and decision module, and a response module. The data receiving module is configured to preprocess acquired multimodal heterogeneous data to obtain sensory data, wherein the multimodal heterogeneous data includes at least one of visual data, auditory data, tactile data, and semantic data. The target object recognition module is configured to create a corresponding user profile for the target object based on the sensory data. The analysis and decision module is configured to perform preference analysis based on the user profile and derive a response strategy based on a deep learning model. The response module is configured to issue an operation instruction based on the response strategy. The present invention achieves the ability to better understand and respond to user needs based on individual user characteristics.

The application provides a push stream control method and device and electronic equipment, and relates to the technical field of automatic driving. The method comprises the following steps: subscribing to a push stream switch topic published by a remote control platform based on a preconfigured robot operating system (ROS) node; obtaining push stream control information issued by the remote control platform from the push stream switch topic; the push stream control information comprises a push stream total switch and a target address; the push stream total switch is used to represent a push stream on state or a push stream off state; updating a current push stream parameter in the ROS node according to the push stream control information to generate a new push stream parameter; and controlling camera push stream to a target server according to the new push stream parameter; the target server is a device corresponding to the target address. The method can realize dynamic updating of the push stream parameter in the ROS node, thereby adapting to the dynamic scheduling requirements of multiple vehicles and multiple tasks in a vehicle-mounted scene.

The utility model discloses a lawn cleaning robot, include: robot main body, mechanical arm structure, lower layer clamp jaw, camera, dustbin, radar, omni -wheel, control unit, GNSS positioning module and IMU, the mechanical arm structure is controlled to a plurality of rudders, makes the mechanical arm structure realize to lift or put down action on the robot main body upper end, and realizes rotating action, is equipped with upper layer clamp jaw in the foremost end of this mechanical arm structure, and this upper layer clamp jaw is controlled to the first rudder, realizes clamping or release, the lower layer clamp jaw is controlled to the sixth rudder, realizes clamping or release, the camera is controlled to the fifth rudder, realizes rotation, has ROS robot operating system and existing identification algorithm YOLOV11 on the control unit deployment.

A modular symbolic operating system enabling robotic agents—humanoid, aerial, aquatic, or morphing—to operate with lawful cognition, ethical routing, and energy-agnostic behavior through real-time symbolic reasoning. The system integrates a symbolic instruction layer, behavioral arbitration graphs, and energy-type decoupling logic that allows mission-adaptive reconfiguration of robotic form, function, and purpose. This invention supports AGI-level interaction across domains including mobility, dexterity, manipulation, environmental engagement, and cooperative swarm missions—while maintaining symbolic integrity across dynamic configurations.

The invention provides a service calling method, electronic equipment, a medium and a program product. The method comprises the following steps: registering a target service to obtain service description information of the target service, issuing the service description information by a server, generating a service calling request by a client based on the service description information, and sending the service calling request to the server. The server side can convert the service calling request into the service calling message conforming to the message specification of the robot operating system based on the conversion rule, and sends the service calling message to the service node providing the target service, so that calling of the target service is achieved.

An embodiment of the present invention discloses a method and system for autonomous escape of an unmanned vehicle in a robot-operated system. The method includes: when the navigation center hub node of the robot operating system reports that the unmanned vehicle cannot reach the predetermined target point, based on the cost map, autonomously generating a temporary target point that the unmanned vehicle can reach; when the unmanned vehicle reaches the temporary target point and escapes the trapped situation, the original target point is sent to the navigation center hub node again for path planning; wherein, the situation in which the unmanned vehicle cannot reach the predetermined target point includes local trajectory control failure, route planning failure or repeated oscillation; wherein, the cost map is formed by assigning a cost value to each grid in the grid map. The system includes a temporary target point generating device and an original target point sending device. When the unmanned vehicle collides with an obstacle or planning fails, the present invention can effectively help the unmanned vehicle escape and eventually reach the predetermined target point.

The invention discloses an unmanned aerial vehicle tunnel environment detection system and a variable structure method, and belongs to the technical field of machine vision, the unmanned aerial vehicle tunnel environment detection system comprises a variable structure unmanned aerial vehicle prototype platform, an environment information acquisition system, a robot operating system, a wireless communication system, a ground station and a monitoring upper computer, the variable-structure unmanned aerial vehicle prototype platform and the environment information acquisition system communicate with the ground station through the wireless communication system, the ground station communicates with the robot operating system, and the robot operating system communicates with the monitoring upper computer. The position information of the obstacles is quickly obtained based on a clustering algorithm and a spatial index structure, the minimum distance between the obstacles is calculated, the autonomous adaptive capacity and robustness of the unmanned aerial vehicle in a complex environment are improved, meanwhile, key environment data such as harmful gas concentration, temperature and humidity can be accurately monitored in real time, and autonomous monitoring in a tunnel is achieved.

The invention discloses a fault processing method and device, equipment and a medium, and relates to the technical field of detection, and the method comprises the steps: distributing a robot operation system node task for each computing device; acquiring a robot operating system node configuration file and a robot operating system node starting parameter; starting the robot operating system node of each computing device according to the robot operating system node configuration file and the robot operating system node starting parameter; in response to a process fault of the robot operating system node of any computing device, restarting the robot operating system node of the computing device through a daemon process program of the computing device; and in response to a fault of any computing device, starting a robot operating system node process on the faulted computing device on an adjacent computing device. According to the method, the high availability and the self-recovery capability of the ROS2 system are improved, and a more stable and reliable ROS2 computing platform is realized.

A kind of semi-physical test system and method of robot operating system application verification, including GPS transmitting module, state monitoring module, formation similarity calculation module, autonomous path planning module and effect evaluation module.Wherein, GPS transmitting module is used to generate and emit GPS signal in indoor environment simulation;State monitoring module is used to monitor the measured stress of each unmanned aerial vehicle;Formation similarity calculation module is used for each unmanned aerial vehicle to autonomously calculate the expected target position of itself in formation;Autonomous path planning module is used for each unmanned aerial vehicle to autonomously calculate the expected control acceleration of itself, and determine expected stress;Effect evaluation module is used to exclude the hardware failure of each unmanned aerial vehicle, and the function and performance of robot operating system are evaluated.The application can reduce the frequency of large-scale unmanned aerial vehicle to field test, reduce test cost.

The application relates to the technical field of driving assistance, and discloses a vehicle automatic emergency braking system and method based on a depth image, a vehicle automatic emergency braking system based on a depth image, which comprises a depth camera, a steering torque sensor, a vehicle-mounted controller and a robot operating system. The application further discloses an implementation method of the vehicle automatic emergency braking system based on the depth image, which comprises the following steps: S1, receiving a color image and a depth image and aligning the images; S2, generating a depth mask according to a vehicle state; S3, performing image processing on the depth image; and S4, determining a target distance according to the processed depth image. The application can realize nonlinear change of a depth threshold line and multi-scene adaptation, can compensate for defects of an ordinary camera imaging principle, can realize accurate target object detection, can have good robustness for target distance detection, and can further realize precise emergency braking.

An automatic driving multi-sensor data acquisition and processing system comprises a sensor data analysis module, a data preprocessing module, a visualization module and a data storage module which are realized in the form of ROS nodes, wherein the sensor data analysis module is used for analyzing original data acquired by each sensor on a vehicle and converting the original data into corresponding data modals; the data preprocessing module carries out time and space synchronization preprocessing on an analysis result; the visualization module visualizes the preprocessed laser radar and millimeter wave radar data into point cloud and visualizes the preprocessed camera data into images; and the data storage module stores the preprocessed data as an HDF5 file according to a format preset by each sensor. According to the invention, nodes and communication mechanisms of robot operating system control software (ROS notation) are fully utilized to allocate computing resources of a host, and real-time processing of sensor data is realized.

The application discloses a design method of a multi-axle unmanned vehicle chassis based on a ROS general robot operating system, and comprises the following steps: step one, designing a multi-axle vehicle electric drive hardware platform, S1.1 hardware architecture design; S1.2 software platform design; step two, designing a multi-axle vehicle steering and torque distribution algorithm based on target speed control, S2.1 calculating multi-axle vehicle wheel steering angles by using an Ackerman steering angle principle; S2.2 designing a fuzzy torque control method according to different steering inside and outside speeds; and step three, designing a control algorithm module for controlling vehicle steering. The torque distribution algorithm based on target speed control can effectively distribute the multi-wheel torque of the system, guarantee the basic stability of the target speed, realize the fuzzy self-distribution strategy of the torque, has good practical value, can be used for realizing the algorithm basis of unmanned driving, and has the characteristics of good torque distribution effect of target speed control and strong practicability.

The invention provides a multi-sensor data fusion system. The multi-sensor data fusion system comprises a sensor interface module used for receiving and transmitting sensor messages; the time synchronization module is used for performing time synchronization processing on sensor messages from different sensors; the fusion processing module is used for fusing the sensor messages subjected to time synchronization processing; the fusion data publishing module is used for publishing the fused message; the multi-sensing data fusion system supports function implementation of all the modules based on a second-generation robot operating system ROS2. According to the multi-sensor data fusion system provided by the invention, the overall architecture is constructed based on the second-generation robot operating system ROS2, so that efficient collaboration and standardized communication of each functional module are realized, and the universality and deployment efficiency of the whole fusion system are improved.

The invention discloses a robot operating system communication method. The method comprises the following steps: installing a robot operating system and deploying a FastDDS; when the robot operating system publishes or subscribes a message, the hard real-time operating system obtains a QoS configuration parameter of the message and calculates a real-time priority index; establishing a priority mapping strategy of the robot operating system QoS and the hard real-time operating system in the hard real-time operating system; binding a corresponding priority for the message processing thread based on the real-time priority index; executing tasks based on priority scheduling and a dynamic priority adjustment mechanism; a load monitoring thread is deployed, the load monitoring thread counts system load data, task load data and network load data every preset time, and thread priority and resource allocation are adjusted in real time. According to the robot operating system communication method, the initial priority of the hard real-time operating system task is directly determined by QoS configuration, and QoS resource allocation can be dynamically counteracted according to the system load.

The application discloses a time-sensitive network data stream gating method for a robot operating system, which comprises the following steps: initializing a gating list; obtaining first occupation information of a first time slot corresponding to a first target sending queue in a first preset continuous gating period; when the first occupation information meets a preset adjustment condition, adjusting the first time slot into a second time slot; obtaining second occupation information of the second time slot in a second preset continuous gating period; when the second occupation information meets a preset recovery condition, restoring the time slot corresponding to the first target sending queue into the first time slot, otherwise, keeping the time slot as the second time slot. The method provided by the application can dynamically adjust the gating list according to the actual occupation of the time slot corresponding to the sending queue with the highest priority, thereby improving the adaptability of time slot configuration to service changes, guaranteeing the deterministic transmission of high-priority data streams, and improving the utilization rate of time resources.

A method for operating a mobile robot to dynamically offload computational tasks to a cloud system is described. Advantageously, the method allows the mobile robot to switch between local execution by the robot itself and remote execution by the cloud system at any time, depending on time, energy, or other requirements. This enables the mobile robot to be robust against varying network conditions while simultaneously leveraging the advantages of external computing resources whenever possible. In at least some embodiments, middleware, such as a robot operating system, is used for communication between the mobile robot and the cloud system.

The application relates to the technical field of robot operating system, and provides a communication topic monitoring and diagnosing method and system based on a ROS 2 system, wherein the method comprises the following steps: configuring global parameters, topic parameters and diagnosis rules; creating an independent monitoring thread for each topic; in each monitoring thread, creating a monitor instance for the corresponding topic; each monitor instance dynamically loads the message type corresponding to the topic, establishes QoS configuration and creates a subscriber; when a message arrives at the monitoring thread, the subscriber accepts the corresponding message, triggers a preset callback function, and obtains an original statistical data stream; an independent analysis thread is created for each topic; in each analysis thread, original statistical data is subjected to real-time statistical calculation, and a structured analysis result is obtained; the structured analysis result is compared with the diagnosis rules in real time, and a specific problem description and a diagnosis result are output. The application solves the problem that topics cannot be monitored and diagnosed in batches and automatically.

The present invention provides a robot positioning method for indoor and outdoor connection based on GNSS and vision, and belongs to the field of positioning and navigation of mobile robots at distribution network engineering sites. The present invention is used on a robot operating system, which parses GNSS data and determines the robot's environment based on the GNSS status. If the robot is outdoors, GNSS and visual odometer fusion positioning is used. If the robot is indoors, the visual odometer estimated by the visual sensor is used as the robot's posture. In indoor and outdoor local environments, decisions are made for robot movement through the matching results of guide label templates, and during the movement, the robot operating system is used to detect positioning labels in the form of QR codes to provide accurate positioning information for the robot. The present invention achieves decimeter-level positioning accuracy for mobile robots in indoor and outdoor local environments at distribution network engineering sites, and realizes adaptive navigation in indoor and outdoor local environments at distribution network engineering sites.

The invention discloses a robot operating system based on KaiHong OS, a robot control method, computer equipment and a medium. The system comprises an operating system layer, a middle layer and an application layer, the operating system layer adopts a KaiHong OS and provides hardware abstraction, bottom layer driving, bottom layer task scheduling, compiling and equipment driving functions; the middle layer is used for carrying out secondary packaging on the operating system layer and providing standard interfaces which are uniform in format and modularized; and the application layer manages the whole robot operating system through the node manager, and splits and combines the functions of the robot operating system by taking nodes as units. According to the method, the KaiHong OS is used as the OS layer support of the robot operating system, the KaiHong OS is connected with the underlying hardware, the KaiHong OS is operated on the computer hardware, an application layer is kept unchanged, a developer can conveniently develop the robot on the KaiHong OS, and the development efficiency of the robot is improved.

To provide an operation method of a robot operation system allowing for operating a robot by easy operation.SOLUTION: When a three-dimensional model displayed on a first display unit 7 is moved to a predetermined position, in response to the move, a robot 2 is caused to move to a predetermined position. When displaying the three-dimensional model on the first display unit 7, it is determined from which position an image of the robot 2 to be displayed on the first display unit 7 is captured; a three-dimensional model of the robot 2 viewed from the determined position is generated; and the generated three-dimensional model of the robot 2 is superimposed onto the image of the robot 2 and displayed on the first display unit 7.SELECTED DRAWING: Figure 2

1. Name of the product in this design: Graphical User Interface for Operating System of Data Center Inspection Robot for Electronic Equipment. 2. Application of this design: This design is intended for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: This graphical user interface is used by users to view robot data information, control the robot in real time for inspection and assistance work in data center scenarios. 6. Human-Computer Interaction Method of Graphical User Interface: The main view is the main interface after the user enters the system; clicking the "Manual Inspection" function module in the main view leads to interface state diagram 1; clicking the "Inspection Task 1" option in interface state diagram 1 switches to interface state diagram 2; clicking the "Execute Now" button in interface state diagram 2 leads to interface state diagram 3; after the countdown in interface state diagram 3 ends, the robot proceeds to the first inspection point, and the interface state diagram jumps from 3 to 4; when the robot reaches the target point, the interface state diagram jumps from 4 to 5; after all inspection points have been inspected, the robot automatically returns, and the interface state diagram jumps from 5 to 6; when the robot returns to the starting point, the interface state diagram jumps from 6 to 7; clicking the "View" button in the "Rack Door Not Closed Alarm" list in interface state diagram 7 leads to interface state diagram 8.