Multi-channel feature map fusion
    1.
    发明授权

    公开(公告)号:US12094084B2

    公开(公告)日:2024-09-17

    申请号:US17388043

    申请日:2021-07-29

    IPC分类号: G06T5/20 G06F7/24 G06T5/50

    摘要: Image processing methods are provided. One of the method includes: obtaining a to-be-processed multi-channel feature maps; obtaining multi-channel first output feature maps and multi-channel second output feature maps by processing the multi-channel feature maps through a parallel pointwise convolution and non-pointwise operation, where the non-pointwise convolution is for descripting a spatial feature of each channel and an information exchange between the feature maps; and fusing the multi-channel first output feature maps and the multi-channel second output feature maps to obtain a multi-channel third output feature map.

    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

    IPC分类号: G06V20/40 G06V10/77 G06V10/80

    摘要: 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

    IPC分类号: B25J9/16 G05B15/02 H04L67/125

    摘要: 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

    IPC分类号: B25J9/02 B62D57/032

    CPC分类号: B62D57/032

    摘要: 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

    IPC分类号: G05D1/02 G01C21/00 G05D1/00

    摘要: 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

    IPC分类号: B25J9/16 B25J9/10 B62D57/032

    摘要: 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.