Control method for robot, computer-readable storage medium and robot

    公开(公告)号:US12053885B2

    公开(公告)日:2024-08-06

    申请号:US17561629

    申请日:2021-12-23

    CPC classification number: B25J9/1602 B25J9/1633 B62D57/02

    Abstract: A robot control method includes: determining a planned capture point and a measured capture point of the robot so as to calculate a capture point error of the robot; obtaining positions of a left foot and a right foot of the robot, and a planned zero moment point (ZMP) of the robot so as to calculate desired support forces of the left foot and the right foot; calculating desired torques of the left foot and the right foot according to the capture point error, the desired support forces of the left foot and the right foot; obtaining measured torques of the left foot and the right foot so as to calculate desired poses of the left foot and the right foot; and controlling the robot to walk according to the desired poses of the left foot and the desired pose of the right foot.

    CENTER OF MASS PLANNING METHOD FOR ROBOT, ROBOT AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20230415333A1

    公开(公告)日:2023-12-28

    申请号:US18210026

    申请日:2023-09-19

    CPC classification number: B25J9/1602 G05B19/4155 G05B2219/40244

    Abstract: A center of mass (COM) planning method includes: obtaining a planning position of the COM and a planning speed of the COM of a robot, and calculating a planning capture point of the robot according to the planning position of the COM and the planning speed of the COM; obtaining a measured position of the COM and a measured speed of the COM, and calculating a measured capture point of the robot according to the measured position the measured speed; calculating a desired zero moment point (ZMP) of the robot based on the planning capture point and the measured capture point; obtaining a measured ZMP of the robot, and calculating an amount of change in a position of the COM according to the desired ZMP and the measured ZMP; and correcting the planning position of the COM according to the amount of change in the position of the COM.

    Method and device for controlling arm of robot

    公开(公告)号:US11833692B2

    公开(公告)日:2023-12-05

    申请号:US17115712

    申请日:2020-12-08

    Abstract: The present disclosure provides a method for controlling an arm of a robot, including obtaining obstacle information relating to the arm of the robot by at least one sensor, obtaining current posture information of the arm of the robot by a least one detector and obtaining an expected posture information of an end-portion of the arm of the robot, determining an expected trajectory of the end-portion of the arm of the robot, determining an expected speed of the end-portion of the arm of the robot in accordance with the expected trajectory of the end-portion, determining a virtual speed of a target point on the arm of the robot, and configuring a target join speed corresponding to a joint of the arm of the robot. Such that the redundant arm of the robot may be configured to prevent from contacting the obstacles in the complex environment while performing corresponding tasks.

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

    公开(公告)号:US20230381963A1

    公开(公告)日:2023-11-30

    申请号:US18201744

    申请日:2023-05-24

    CPC classification number: B25J9/1664 B25J9/1694

    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.

    METHOD FOR OPTIMIZING HUMAN BODY POSTURE RECOGNITION MODEL, DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20230334893A1

    公开(公告)日:2023-10-19

    申请号:US18214467

    申请日:2023-06-26

    CPC classification number: G06V40/103 G06V10/806

    Abstract: A method includes: obtaining heat maps including a predetermined number of key points of a human body; performing depth separable convolution on a feature map corresponding to one of the heat maps corresponding to each of the key points and a convolution kernel of a corresponding channel of the human body posture recognition model to determine a key point feature map corresponding to each channel of the human body posture recognition model; performing local feature fusion processing and/or global feature fusion processing on the key point feature map corresponding to each channel to obtain fusion posture feature maps; determining a linear relationship between the channels of the human body posture recognition model based on the fusion posture feature maps; and updating weight coefficients of the corresponding channels of the human body posture recognition model by using the linear relationship between the channels of the human body posture recognition model.

    ROBOT OBSTACLE AVOIDANCE METHOD, COMPUTER READABLE STORAGE MEDIUM, AND ROBOT

    公开(公告)号:US20230158672A1

    公开(公告)日:2023-05-25

    申请号:US18052535

    申请日:2022-11-03

    CPC classification number: B25J9/1666 B25J9/163

    Abstract: A robot obstacle avoidance method, a robot controller using the same, and a storage medium are provided. The method includes: determining an influence value of an obstacle on a motion range of a joint of the robot according to a position of the obstacle in a workspace of the robot; establishing a state transition relationship of the robot by taking a joint velocity of the robot as a control target and a joint angular velocity of the robot as a control input quantity; and avoiding the robot from colliding with the obstacle during a movement process of the robot by performing a model predictive control on the robot according to the state transition relationship and the influence value. In the present disclosure, the influence of the obstacle on the motion range of the joint of the robot is fully considered.

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