ROBOT STABILITY CONTROL METHOD, ROBOT AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20230191604A1

    公开(公告)日:2023-06-22

    申请号:US18071462

    申请日:2022-11-29

    CPC classification number: B25J9/1664 B25J9/1605 G05B19/4155 G05B2219/50391

    Abstract: A robot stability control method includes: obtaining a desired zero moment point (ZMP) and a fed-back actual ZMP of a robot at a current moment; based on a ZMP tracking control model, the desired ZMP and the actual ZMP, calculating a desired value of a motion state of a center of mass of the robot at the current moment, wherein the desired value of the motion state of the center of mass comprises a correction amount of the position of the center of mass; based on a spring-mass-damping-acceleration model and the desired value of the motion state of the center of mass, calculating a lead control input amount for the correction amount of the position of the center of mass; and controlling motion of the robot according to the lead control input amount and a planned value of the position of the center of mass at the current moment.

    REDUNDANT ROBOT JOINT ACCELERATION PLANNING METHOD, REDUNDANT ROBOT USING THE SAME, AND COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20230101489A1

    公开(公告)日:2023-03-30

    申请号:US17553758

    申请日:2021-12-16

    Abstract: A joint acceleration planning method, a redundant robot using the same, and a computer readable storage medium are provided. The method includes: obtaining an optimization objective function, a joint acceleration inequation constraint function and a joint acceleration equation constraint function corresponding to the optimization target from a quadratic programming function library, where the optimization objective function is an objective function obtained based on the upper and lower limits of the optimization target and a Euclidean distance algorithm; and obtaining a joint acceleration planning result by performing a quadratic optimization solving on a joint acceleration of each of the target joints of the robot at time k according to the end Cartesian space speed at time k+1, the joint parameter set of the target joints of the robot at time k, the sampling period, the optimization objective function, the joint acceleration inequation constraint function, and the joint acceleration equation constraint function.

    ROBOT GAIT PLANNING METHOD AND ROBOT WITH THE SAME

    公开(公告)号:US20200156721A1

    公开(公告)日:2020-05-21

    申请号:US16452532

    申请日:2019-06-26

    Abstract: The present disclosure provides a robot gait planning method and a robot with the same. The method includes: obtaining, through the sensor set, force information of feel of the robot under a force applied by a target object; calculating coordinates of zero moment points of the feet of the robot with respect to a centroid of a body of the robot based on the force information; and determining a gait planning result for the robot based on the coordinates of the zero moment points with respect to the centroid of the body. The present disclosure is capable of converting the force of the target object to the zero moment points, and using the zero moment points to perform the gait planning, so that the robot follows the target object in the case that the robot is subjected to a force of the target object.

    Robot control method, computer-readable storage medium, and robot

    公开(公告)号:US12285871B2

    公开(公告)日:2025-04-29

    申请号:US18201744

    申请日:2023-05-24

    Abstract: A robot control method, a computer-readable storage medium, and a robot are provided. The method includes: obtaining first motion data, where the first motion data is human arm end motion data collected by a virtual reality device; obtaining second motion data by mapping the first motion data to a working space of an end of a robotic arm of the robot; obtaining a state of each joint of the robotic arm of the robot, and obtaining control data of the joint by performing a quadratic programming solving on the second motion data and the state of the joint; and controlling, by a motion controller of the robot, the robotic arm of the robot to move according to the obtained control data of each joint of the robot by transmitting the control data of the joint to the motion controller, so that the control method is relatively more natural, intuitive, and flexible.

    Robot control method, robot and computer-readable storage medium

    公开(公告)号:US12285870B2

    公开(公告)日:2025-04-29

    申请号:US18070313

    申请日:2022-11-28

    Abstract: A method of controlling a robot includes: obtaining an inertia matrix and a slack variable of the robot, and determining a momentum equation of the robot according to the inertia matrix and the slack variable; obtaining reference joint angles corresponding to a reference action of the robot; determining an optimization objective function of the momentum equation according to a first preset weight coefficient of the slack variable and a second preset weight coefficient of the reference joint angles; and determining joint angles of the robot according to the optimization objective function, and driving the robot to move according to the joint angles of the robot.

    METHOD FOR ROBOT TELEOPERATION CONTROL, ROBOT, AND ELECTRONIC DEVICE

    公开(公告)号:US20240198532A1

    公开(公告)日:2024-06-20

    申请号:US18518960

    申请日:2023-11-25

    CPC classification number: B25J9/1689

    Abstract: A method for robot telcoperation control is provided. The method includes acquiring target action data and displacement data of a target object, wherein the target action data includes head action data and arm action data; controlling a target robot to act according to the target action data to enable the target robot to complete an action corresponding to the target action data; and performing centroid trajectory planning on the target robot based on a model predictive control (MPC) algorithm according to the displacement data to obtain a target centroid trajectory, and establishing a spring-damping system to track the target centroid trajectory so as to enable the target robot to move to a position corresponding to the displacement data.

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