Dynamic footprint set generation method, biped robot using the same, and computer readable storage medium

    公开(公告)号:US11983012B2

    公开(公告)日:2024-05-14

    申请号:US17462019

    申请日:2021-08-31

    CPC classification number: G05D1/0214 G05D1/0231 B62D57/032

    Abstract: A dynamic footprint set generation method, a biped robot using die same, and a computer readable storage medium are provided. The method includes: obtaining preset footprint calculation parameters; calculating a landing point position based on the preset footprint calculation parameters; determining a landing point range based on a landing point position, and performing a collision detection on the landing point range; recording the corresponding landing point position in a footprint set in response to the detection result representing there being no collision; obtaining a preset adjustment amplitude to update a preset displacement angle after the recording is completed; and returning to the calculating the landing point position until the footprint set is generated. By continuously adjusting the preset displacement angle, each landing point position is calculated accordingly, and the valid landing point positions are recorded in the footprint set, which provides more feasible landing points for navigation planning.

    GAIT PLANNING METHOD, ROBOT AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20230278212A1

    公开(公告)日:2023-09-07

    申请号:US18091292

    申请日:2022-12-29

    CPC classification number: B25J9/1664 B25J9/1602 B25J9/1653 B25J9/163

    Abstract: A gait planning method for a robot includes: constructing a first phase variable of a gait planning of the robot, wherein the first phase variable is a function of two position components of a torso of the robot on a horizontal plane; constructing a second phase variable based on the first phase variable, wherein the second phase variable is a function of the first phase variable, and a slope of the second phase variable is smaller than a slope of the first phase variable when a foot of a swing leg of the robot starts to touch a support surface; and performing the gait planning on the foot of the swing leg using the second phase variable to obtain a planned trajectory of the foot of the swing leg.

    Biped robot control method and biped robot using the same and computer readable storage medium

    公开(公告)号:US12280510B2

    公开(公告)日:2025-04-22

    申请号:US17678037

    申请日:2022-02-23

    Abstract: A biped robot control methods and a biped robot using the same as well as a computer readable storage medium are provided. The method includes: obtaining an initial distance between a centroid of a double inverted pendulum model of the biped robot and a support point of the biped robot, an initial moving speed of the centroid and an initial displacement of the centroid; calculating a measured value of a stable point of the doable inverted pendulum model based on the initial distance and the initial moving speed; calculating a control output quantity based on the initial moving speed and the measured value of the stable point; calculating a desired displacement of the centroid of the double-inverted pendulum model based on the initial moving speed, the initial displacement, and the control output quantity; and controlling the biped robot to move laterally according to the desired displacement.

    Method for controlling legged robot, robot and computer-readable storage medium

    公开(公告)号:US12138803B2

    公开(公告)日:2024-11-12

    申请号:US18089588

    申请日:2022-12-28

    Abstract: A method for controlling a legged robot includes: in response to detection of a collision event associated with a foot of a swing leg of the biped robot, terminating a trajectory component planning of the swing leg in a collision direction; calculating a position offset in the collision direction according to an external force that is received by the foot of the swing leg in the collision direction and obtained in real time, based on a foot dragging control mode, and determining a replanned trajectory component in the collision direction based on the position offset; and controlling the swing leg to move based on the replanned trajectory component in the collision direction and a desired trajectory component of the swing leg in a non-collision direction.

    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.

    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.

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