36 results about "Analog robot" patented technology

Provided are a method, system, and non-transitory computer-readable medium for real-time autonomous path planning for a robotic device. The method includes receiving data about the robotic device in a three-dimensional workspace, encapsulating objects in the environment of the robotic device including the robotic device, a target, and one or more obstacles in simulated robotic space, calculating a direction of movement for the robotic device according to three virtual forces including a virtual attractive force, a virtual repulsive force, and a virtual tangential force acting at least partially perpendicularly relative to the virtual repulsive force, mapping each virtual force in the three-dimensional workspace into torque vectors in the simulated robotic space at each joint, converting a sum of the torque vectors into one or more commands for the robotic device defining a path to reach the target, and sending the one or more commands to the robotic device.

The present invention relates to a method for verifying a service scenario by using a simulation of a virtual environment, and may comprise the steps of: generating a virtual environment corresponding to a real environment in which a service scenario is to be executed; simulating an operation of a robot on the basis of the service scenario in the generated virtual environment; and verifying the service scenario by using result data of the simulation. Acknowledgement: This patent is the result of research conducted, with the support of the Korea Institute of Procurement, using funds of the government (public procurement service) in 2025. (No.RS-2025-16072908).

Robots, systems, methods, and computer program products for training and operating (semi-)autonomous robots to complete work objectives are described. A robot accesses a library of reusable work primitives from a catalog of libraries of reusable work primitives, each reusable work primitive corresponding to a respective basic sub-action that the robot is trained to autonomously perform. A work objective is analyzed to determine a sequence of reusable work primitives that complete the work objective, and the robot executes the sequence to complete the work objective. A robot can be deployed with access to an appropriate library of reusable work primitives, based on expectations for the robot. The robot is trained to perform reusable work primitives in multiple libraries, by generating control instructions which cause the robot to perform each reusable work primitive. Training is performed by real-world robots performing reusable work primitives, or simulated robot instances performing the reusable work primitives.

A computer-implemented method includes evaluating environmental parameters of an activity area where a robot will operate using sensors and analyzing the robot to identify parts needing a protective coating. A protective coating material and thickness are determined based on the environmental parameters and robot analysis. Robotic motion is simulated with the protective coating to optimize protection and mobility. The protective coating is applied to the robot, using three-dimensional (3D) printing, based on the simulation results.

A simulation setup support device (1) configured to perform setup assistance for simulating an operation in one of which a robot performs a predefined task, the simulation setup support device (1) comprising an input device (2) configured to receive task information relating to the predefined task, a memory (3) storing multiple keywords associated with multiple tasks containing the predefined task, and further storing sequences of setup steps required to simulate an operation in which the robot performs the task, and a processor (4) configured to compare character information extracted from the task information with the keywords and to process one or more of the sequences of setup steps associated with one or more of the keywords.which correspond to the character information, and a display device (5) which is configured to display one or more of the sequences of setting steps selected by the processor (4).

To provide an information processing device and the like capable of simulating robot control without exceeding a limit of a movable range of an operation in simulation of robot control of a multi-axis robot.SOLUTION: The information processing device includes a learning unit configured to generate a learning model learned by simulation in a virtual space, a storage unit configured to store robot configuration information, a reception unit configured to receive work space information for executing teaching and a work requirement set in advance for a workpiece, and a generation unit configured to generate a three dimensional model of a work space including the robot and the workpiece in the virtual space based on the robot configuration information and the work space information. And a simulation unit that outputs a result of simulating an operation of the robot satisfying the work requirements as control information of the movable range in the real space based on the learning model.SELECTED DRAWING: Figure 1

This invention relates to the field of component testing, and more particularly to a strength testing device for robot joint components. Existing strength testing devices are not convenient for gradually applying increasing pressure to the inner contact surface of the joint ring during testing, and it is difficult to test the wear resistance of the joint ring under different operating pressures. This results in insufficient and incomplete testing, failing to accurately reflect reality and leading to poor testing results for the joint ring. A robot joint component strength testing device includes: an outer frame with an inlet and outlet; and a support plate with three evenly spaced grooves fixed within the outer frame. An electric slide rail drives an electric slider to rotate a rotating plate via a ball bearing and a positioning ring, causing a clamping rubber block to clamp the joint ring, ensuring stability during testing. A motor drives a rotating frame, a sliding frame, and a testing roller to rotate around the inner side of the joint ring, thereby simulating the actual state of the robot joint during operation and performing fatigue testing on the joint ring.

The application relates to the technical field of compression resistance testing, and particularly relates to a stress compression resistance testing device of a robot modular fingertip structure and a testing method thereof, which comprises a cabinet body, a placing table arranged in the cabinet body and used for placing a robot hand, a horizontal moving seat movably arranged in the cabinet body and an assembly plate, the horizontal moving seat can be driven by a second linear driving module arranged in the cabinet body to move horizontally, the assembly plate can be driven by a pressure applying driving mechanism arranged in the cabinet body to move away from or close to the horizontal moving seat, so that a pressure applying piece arranged on the side of the assembly plate away from the horizontal moving seat is in contact with the robot finger; the first pressure applying plate and the second pressure applying plate are arranged to form a V-shaped structure, the robot finger can be directly pressed, and the stress condition of the robot finger when a local part of a gripped object enters the finger gap during the working process of the robot can be simulated, so that the diversification of the stress compression resistance mode of the robot during testing is realized.

The invention provides a model training method and device and related equipment, and relates to the technical field of robot walking, and the method comprises the steps: extracting at least one feature based on human motion data; obtaining a motion template set based on the at least one feature; inputting the simulation observation data into a first model to obtain robot motion data corresponding to the simulation observation data output by the first model; the simulation observation data is used for simulating the state of the robot; constructing a loss function based on the similarity between each motion template in the motion template set and the simulation observation data, and based on the frequency feature domain corresponding to the robot motion data and the frequency feature domain corresponding to each motion template; the frequency characteristic domain is used for representing a stride frequency, a harmonic structure and a phase propulsion condition corresponding to the motion; and training the first model through the loss function to obtain a second model.

The present application relates to the field of robot simulation and control technology, in particular to a bronchoscope robot simulation control platform and method based on VTK, which is suitable for structure modeling, motion control, virtual simulation and the like of continuum robots (such as bronchoscope robots), and can be widely applied to the fields of medical robot simulation, surgical training and robot control algorithm verification and the like. Firstly, the platform uses voxel modeling technology to model the bronchoscope robot, and only needs to set the robot structure parameters and motion degrees of freedom, so as to simulate the form and behavior of different continuum robots. The center line of the bronchial tree is quickly extracted using the vmtk library, and a motion control algorithm based on the center line of the bronchial tree is designed, so that the simulation platform can effectively simulate the interaction between the robot and the bronchial tree. At the same time, the built-in collision detection interface of vtk is used to calculate the collision between the robot and the bronchial tree in real time, and real-time and accurate feedback is carried out in the simulation process.

The invention discloses a programmable robot testing and debugging system, and relates to the technical field of robot testing, the programmable robot testing and debugging system comprises a bottom plate, a rotary clamping assembly, a rotary testing assembly, a monitoring assembly and a controller, a robot trolley for testing is placed on the rotary testing assembly, and the rotary testing assembly is used for simulating a road surface on which the robot trolley runs; the rotating clamping assembly is used for obtaining the angle of the driving direction of the robot trolley after the robot trolley turns, and the monitoring assembly is used for monitoring signal data of position information of the robot trolley on the rotating testing assembly. The robot trolley is subjected to turning, advancing and retreating simulation through the rotary clamping assembly and the rotary testing assembly, and data acquisition can be performed on set braking time, moving speed, turning precision and the like of the robot trolley and actual speed braking time, moving speed and turning precision through the monitoring assembly. Developers can conveniently and quickly adjust the performance of the robot trolley, and actually measured data are provided for the adjustment process.

Robot simulation device (1) for performing a simulation of an operating program for a robot in a robot system comprising the robot grasping a gripped object and a workpiece in a workspace, pressing a surface of the gripped object onto a surface of the workpiece in order to transfer a transfer material arranged on the surface of the gripped object onto the surface of the workpiece, wherein the robot simulation device comprises: a robot model arrangement unit configured to arrange a robot model (200) of the robot in a virtual space that represents the workspace in three dimensions; a gripping object model arrangement unit configured to arrange a gripping object model (210) such that the gripping object model (210) is gripped by the robot model (200) in the virtual space; a workpiece model arrangement unit configured to arrange a workpiece model (220) of the workpiece at a position in virtual space that reaches the gripping object model (210) grasped by the robot model (200); an image generation unit (103) configured to generate an image of the robot system operating according to the operating program in the robot simulation device (1); a display unit (102) configured to display the image of the robot system generated by the image generation unit (103); a first transfer material image display unit (104) configured to display a transfer material image of the transfer material on a surface of the gripping object model (210); and a second transfer material image display unit (105) configured to display the transfer material image on the surface of the workpiece model (220) when the surface of the gripping object model (210) comes into contact with a surface of the workpiece model (220) in such a way that the transfer material image is in a relationship in which it is inverted relative to the transfer material image displayed on the surface of the gripping object model (210).

The invention relates to a simulation method for simulating the machining of a workpiece using a tool guided by a robot, comprising the following steps (S1-S3): a) Specification of a lattice model of the workpiece (S1) from numerous geometric elements, b) Specification of a robot path with numerous path points (S2), c) Specification of an operating mode of the tool at the individual path points of the robot path (S3), the following steps (S5-S11) are performed for each point along the robot's path: d) Determination of a control volume and / or an area of ​​effect, wherein the control volume is the volume within which the tool at the respective point on the robot path could theoretically possibly have an effect on the workpiece, irrespective of the tool's operating mode (S5), while the area of ​​effect is the volume within which the tool at the respective point on the robot path actually has an effect on the workpiece under the given operating mode of the tool, wherein the area of ​​effect preferably excludes such geometric elements which, although located within the control volume, are obscured from the tool's perspective by other geometric elements (S6). e) Determination of those geometric elements of the lattice model that lie within the control volume / area of ​​action of the tool (S7), f) Generation of a simplified lattice model from the geometric elements of the lattice model that lie within the control volume / area of ​​action of the tool, and g) Simulation of the machining of the workpiece by the tool based on the simplified lattice model (S11).

This invention provides a robot simulation device that can easily generate robot motion paths that do not interfere with surrounding objects, even under various conditions. The robot simulation device simulates robot movements in virtual space and includes a setting unit, a determining unit, an insertion unit, and a generating unit. The setting unit sets points of interest at multiple locations within the robot. The determining unit uses a first point of interest from the set points of interest as a first reference position and determines a first movement position that moves the robot a predetermined distance. When the robot moves along the determined first movement position without interfering with surrounding objects, the insertion unit inserts a first intermediate point at a position between the first reference position and the first movement position. The generating unit uses the first intermediate point as a second reference position and repeatedly inserts intermediate points, thereby generating a robot motion path that does not interfere with surrounding objects.

Embodiments of the present application disclose a robot assembly training method, a robot assembly control method and a computer readable storage medium. The training method comprises: constructing an initial agent, generating a preset number of joint state combinations based on the initial agent; in a simulation environment, controlling a simulated robot to perform an assembly action according to the joint state combinations; determining a reward mode, scoring the performed assembly action based on the reward mode to obtain a reward score; and training the initial agent using the reward score. The control method comprises: obtaining a trained agent; inputting environment data of a current time into the agent to adjust the agent, and obtaining an implemented agent; and inputting a task instruction into the implemented agent, and performing an assembly action according to a strategy output by the implemented agent. Therefore, the present application can effectively improve the adaptability of the assembly robot and accurately complete the assembly action in more application scenarios.

This utility model discloses a team-based collaborative combat simulation robot, belonging to the field of robotics technology, including a perception system, a decision-making system, a motion system, a weapon system, and a communication system. The perception system acquires information about the robot's surrounding environment and its own state. The decision-making system formulates execution plans based on the environmental and state information, including action and confrontation decisions. The motion system executes actions based on action decisions. The weapon system performs confrontation tasks based on confrontation decisions. The communication system enables information exchange. This utility model achieves this by: accurately capturing information through the perception system to provide a basis for decision-making; efficiently generating plans through the decision-making system; flexibly executing actions through the motion system; accurately completing confrontation tasks through the weapon system; and ensuring information exchange through the communication system. The coordinated operation of these systems enables the robot to perform tasks effectively in complex scenarios, improving overall combat effectiveness and adaptability.

The present invention relates to a method for setting collision information for simulating robot motion and an apparatus for performing the same, the method including the steps of: obtaining robot installation information about an operation space of a robot, dangerous region information, and body part information in which a collision can occur in each dangerous region; setting a check point for judging a collision danger with respect to the robot; and calculating coordinate information and shape information of the check point based on at least a part of the obtained information and the set check point.

Robots, systems, methods, and computer program products for training and operating (semi-)autonomous robots to complete work objectives are described. A robot accesses a library of reusable work primitives from a catalog of libraries of reusable work primitives, each reusable work primitive corresponding to a respective basic sub-action that the robot is trained to autonomously perform. A work objective is analyzed to determine a sequence of reusable work primitives that complete the work objective, and the robot executes the sequence to complete the work objective. A robot can be deployed with access to an appropriate library of reusable work primitives, based on expectations for the robot. The robot is trained to perform reusable work primitives in multiple libraries, by generating control instructions which cause the robot to perform each reusable work primitive. Training is performed by real-world robots performing reusable work primitives, or simulated robot instances performing the reusable work primitives.

The invention discloses a method and device for virtually debugging a simulation robot controller, and relates to the technical field of virtual debugging, and the method comprises the steps: generating a simulation control program based on an automatic production line design scheme; extracting signal information according to the simulation control program, building an electrical behavior model according to the signal information, and matching and connecting electrical signals to generate a robot program; and importing the robot program into the target simulation software so as to verify the robot program in the preset virtual environment, and after the verification is passed, establishing connection between the robot controller and the virtual scene so as to simulate a real motion state and generate an optimal flow process. Therefore, according to the method, the robot program is debugged and verified in the virtual environment to generate the optimal flow process, and the technical effects of reducing the debugging cost, improving the debugging efficiency and shortening the debugging period can be achieved.

This application proposes a method, apparatus, electronic equipment, and program product for constructing and integrating test models for legged robots. First, a data acquisition terminal and a scene modeling configuration module generate a scene model file to build a standardized test scene. A sensor modeling configuration module then generates a sensor simulation model file coupled with the environment based on this file, simulating the robot's perception function. A dynamics modeling configuration module combines the robot's basic information with scene characteristics to generate a validated dynamics model file, simulating the robot's motion function. An integrated testing module loads the three types of models to complete collaborative simulation testing, achieving collaborative verification of perception and motion functions. Finally, the test process configuration is updated to achieve standardized construction and integrated testing of the test model. By relying on standardized models to optimize the testing process, the standardization and adaptability of legged robot simulation testing are improved, providing reliable support for its testing.

The application relates to the technical field of GIS power grid, and discloses a GIS power grid topology abnormality identification method based on image recognition technology, which comprises an operation simulation robot program, an online power grid portal system browser extension plug-in program and a GIS graph intelligent identification program; the GIS power grid topology abnormality identification method based on image recognition technology realizes the intelligentization and automation of online power grid system GIS graph identification management by designing three functional modules of the online power grid portal system chrome browser extension plug-in program, the operation simulation robot program and the GIS graph intelligent identification program and the organic cooperation combination among the three functional modules, and combining an online power grid GIS graph element image intelligent identification training model; the identification accuracy is improved; subjective judgment is converted into artificial intelligence quantitative judgment; multi-level full-coverage traversal intelligent analysis is realized; and the omission of manual analysis is avoided.

A system for workspace augmentation includes an augmented reality device. The augmented reality headset includes an imaging device configured to capture images of a real-world environment, a display configured to display a composite view, a processor, and a memory. The memory includes instructions stored thereon, which, when executed by the processor, cause the system to: capture a real-world environment that includes an object by the imaging device, identify the object in the captured image, determine information relating to the object, render an overlay including the information relating to the object, and display the information relating to the object on the display. The object includes a surgical instrument of a robotic surgical system.

The application discloses a battery charging and discharging test tool, method, device and medium, the test tool comprises a driver, a resistor, a controller, and a motor in a pair of tow structures; the controller is connected with each driver and also connected with a battery; the driver comprises a first driver and a second driver; the first driver is connected with the resistor, and each second driver is connected with the motor in a pair of tow structures. By controlling the current size of the resistor discharging the battery, the power consumption of stable load or slowly changing load in the energy consumption of the robot / electric vehicle can be simulated. The load condition of the motor in the running process of the robot / electric vehicle can be simulated through the motor connected in a pair of tow structures. The technical scheme can reproduce the complex use conditions of the battery in the field, combines the battery charging and discharging test with the actual use record in the field, provides a more accurate test method for measuring the SOC accuracy of the battery BMS, and improves the accuracy of the battery test.

The invention relates to a safety cooperative control method based on quantitative evaluation of a cross working space of a double-arm robot. The method comprises the following steps: establishing a double-arm robot connecting rod model according to the structure of the double-arm robot; generating a plurality of joint angles according to the joint angle range of the double-arm robot so as to simulate different joint angles which can be reached by the robot in the space; further obtaining different positions which the tail end of the robot can reach in the space, and forming a working space point cloud; according to the working space point cloud of the double-arm robot, working space point cloud convex hulls of a left arm and a right arm are constructed to represent working space boundaries; calculating a left arm and right arm working space overlapping part to represent a cross working space; marking and highlighting the crossed area with different colors, and calculating the volume of the working space; and evaluating a cross working space, and planning a motion track of the robot in the space to carry out double-arm cooperation. According to the method provided by the invention, the overlapping region of the working space of the double-arm robot can be calculated, accurate quantized data is provided, the optimization of robot task planning is facilitated, and efficient execution of cooperative tasks is ensured.

The invention relates to the related technical field of compression resistance testing, in particular to a stress compression resistance testing device of a robot modularized fingertip structure and a testing method thereof.The stress compression resistance testing device comprises a cabinet body and a placing table arranged in the cabinet body and used for placing a robot hand, and further comprises a transverse moving seat and an assembling plate which are movably arranged in the cabinet body; the transverse moving seat can be driven by a second linear driving module arranged in the cabinet body to move horizontally, and the assembling plate can be driven by a pressure applying driving mechanism arranged in the cabinet body to move away from or close to the transverse moving seat, so that a pressure applying piece arranged on the side, away from the transverse moving seat, of the assembling plate is in contact with robot fingers; by arranging the first pressure applying plate and the second pressure applying plate, the first pressure applying plate and the second pressure applying plate form a V-shaped structure, pressure can be directly applied to the robot fingers, the stress condition of the robot fingers can be simulated in the working process of the robot when the local part of a grabbed object enters a finger gap, and therefore diversification of stress and pressure resistance modes of the robot in the testing process is achieved.

Techniques are disclosed to use robotic system simulation to control a robotic system. In various embodiments, a communication indicating an action to be performed by a robotic element is received from a robotic control system. Performance of the action by the robotic element is simulated. A state tracking data is updated to reflect a virtual change to one or more state variables as a result of simulated performance of the action. Successful completion of the action by the robotic element is reported to the robotic control system.

The embodiment of the invention discloses a robot assembly training method, a robot assembly control method and a computer readable storage medium. The training method comprises the following steps: constructing an initial agent, and generating a preset number of joint state combinations based on the initial agent; in the simulation environment, the simulation robot is controlled to execute the assembly action according to the joint state combination; determining a reward mode, and scoring the executed assembly action based on the reward mode to obtain a reward score; and training the initial agent by using the reward score. The control method comprises the following steps: acquiring a trained agent; inputting the obtained environment data at the current moment into the intelligent agent, and adjusting parameters of the intelligent agent to obtain an implementation intelligent agent; and inputting the task instruction into the implementation agent, and executing an assembly action according to a strategy output by the implementation agent. Therefore, the adaptability of the assembly robot can be effectively improved, and the assembly action can be accurately completed in more application scenes.

This simulation device comprises a simulation implementation unit that simulates a movement of a robot device, and estimates a movement path of a robot. The simulation device comprises a position information generation unit that generates three-dimensional position information for a surface of a workpiece on the basis of the output of a vision sensor, which has imaged an actual workpiece. A display unit displays the three-dimensional position information for the surface of the workpiece, superimposed on an image of a robot device model, an image of a workpiece model, and the movement path of the robot.

The invention discloses a human demonstration data acquisition system and method based on a robot-like first visual angle, a head wearing camera with an IMU (Inertial Measurement Unit) is worn on the head of an operator (simulating the head vision of a robot), and an overlook camera is worn on the limb ends of double wrists / forearms of the operator (simulating the tail end vision of a mechanical arm, and the field of view covers the wrists, the complete hands or the tail end). The collected data can perfectly adapt to a related vision-inertia SLAM or scene calibration algorithm and a hand tracking algorithm, and hand pose collection under a global unified coordinate system is achieved. According to the invention, the visual domain deviation of man-machine data is reduced from the physical level, and RoboEgo-Centric human demonstration data acquisition with consistent man-machine observation is realized; the wearing is portable and flexible, and a handheld device is not needed. The generated data can be widely applied to supervised or unsupervised robot control models, including but not limited to body models, visual language motion models and world models.