VIDEO FRAME FEATURE EXTRACTION METHOD, DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20240290096A1

    公开(公告)日:2024-08-29

    申请号:US18422046

    申请日:2024-01-25

    CPC classification number: G06V20/46 G06V10/7715 G06V10/806

    Abstract: A method for extracting video frame features includes: obtaining a number of initial features of each video frame in a video sequence; calculating global channel attention information of the video sequence based on the initial features of each video frame in the video sequence; calculating local channel attention information of a target video frame according to initial features of a target video frame; wherein the target video frame is one of the video frames in the video sequence; and performing channel attention mechanism processing on the initial features of the target video frame according to the global channel attention information and the local channel attention information to obtain optimized features of the target video frame.

    Control method and control system using the same

    公开(公告)号:US11969890B2

    公开(公告)日:2024-04-30

    申请号:US17584398

    申请日:2022-01-26

    CPC classification number: B25J9/161 G05B15/02 H04L67/125

    Abstract: A control method and a control system using the same as are provided. The method includes: extracting a corresponding component data from a component data stream based on an application protocol registered by each of a plurality of applications and encapsulating a corresponding application data packet for the application in response to receiving the component data stream in a current control period; transmitting the corresponding application data packet to each of the applications; obtaining control data reported by each of the applications according to data reporting timing corresponding to the application; and generating a component control instruction for controlling each of the components according to the control data reported by each of the applications in the current control period and the application protocol registered by the application. In this manner, the orderly control of a smart devices within a limited control period can be achieved.

    Hip joint mechanism and humanoid robot

    公开(公告)号:US11945528B2

    公开(公告)日:2024-04-02

    申请号:US17134147

    申请日:2020-12-24

    CPC classification number: B62D57/032

    Abstract: A hip joint mechanism includes: a hip joint frame; an upper leg movably connected to the hip joint frame; a hip actuator configured to drive the hip joint frame to rotate; two upper leg actuators mounted on the hip joint frame; two transmission mechanisms configured to transmit motion from the two upper leg actuators to the upper leg, wherein each of the upper leg actuators comprises a casing connected to the hip joint frame, and an output shaft connected to one corresponding transmission mechanism, each of the two transmission mechanisms comprises an output end; and three connecting mechanisms, wherein the output ends and the hip joint frame are movably connected to the upper leg through the three connecting mechanisms, the three connecting mechanisms are arranged at three vertices of a triangle.

    ROBOT AUTONOMOUS OPERATION METHOD, ROBOT, AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20240085913A1

    公开(公告)日:2024-03-14

    申请号:US18517006

    申请日:2023-11-22

    CPC classification number: G05D1/0212 G01C21/3841 G05D1/0011

    Abstract: A robot autonomous operation method, a robot, and a computer-readable storage medium are provided. The method includes: moving the robot, under a control of a user, along a guide path in an operation scene; generating a map including the guide path by positioning and mapping during the robot being moved along the guide path in the operation scene; generating a plurality of operation points on the guide path in the map; generating an operation path, wherein the operation path passes through all of the unpassed operation points and has a shortest total distance; and moving the robot, according to the operation path, to each of the unpassed operation points so as to perform an operation. In this manner, it controls the robot to explore the guide path in the operation scene by manual guiding, which can improve the exploration efficiency and reduce the risk of exploring unknown operation scenes.

    ROBOT CONTROL METHOD, LEGGED ROBOT USING THE SAME, AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20240025038A1

    公开(公告)日:2024-01-25

    申请号:US18373991

    申请日:2023-09-28

    Abstract: A robot control method, a legged robot using the same, and a computer-readable storage medium are provided. The method includes: obtaining a motion parameter of a driving mechanism of a target part of the robot; and obtaining an end pose of the target part by processing the motion parameter of the driving mechanism according to a preset forward kinematics solving model, where the forward kinematics solving model is a neural network model trained by a preset training sample set constructed according to a preset inverse kinematics function relationship. In this manner, a complex forward kinematics solving process can be transformed into a relatively simple inverse kinematics solving process and neural network model processing process, which reduces the computational complexity, shortens the computational time, thereby meeting the demand for real-time control of the robot.

    Total centroid state estimation method, humanoid robot and computer readable storage medium using the same

    公开(公告)号:US11872701B2

    公开(公告)日:2024-01-16

    申请号:US17485412

    申请日:2021-09-25

    CPC classification number: B25J9/1664 B25J9/1607 G05D2201/0217

    Abstract: A total centroid state estimation method as well as a humanoid robot and a computer readable storage medium using the same are provided. The method includes: obtaining a motion state of each real joint of the humanoid robot and a motion state of its floating base, where the floating base is equivalent to a plurality of sequent-connected virtual joints; calculating a joint position, a centroid position, and a rotation matrix of each link in the world coordinate system in sequence using the chain rule of homogeneous multiplication according to the position of the joint corresponding to the link to solve a Jacobian matrix of the centroid of the link; solving a total centroid Jacobian matrix based on the Jacobian matrix of the centroid of each link and the total mass; and calculating the total centroid velocity based on the total centroid Jacobian matrix and other parameters.

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