With the rapid progress of science and technology, an increasing number of robots are used in society. Compared with multi-legged crawling robots, humanoid robots have gained more flexibility and reliability with a structure similar to the human body, and have been widely used. Therefore, the proper pose control of the humanoid robot is particularly critical. This paper proposes and designs a humanoid robot control system based on human pose detection. The system detects the posture image of the human body by using the OpenPose method, and then uses the space vector method to calculate the rotation angle information of the human body joints. After being processed, the information is sent to the steering gear controller by the Raspberry Pi. After the controller solves and processes the signal, the pose of the robot is controlled by driving the steering gear


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    Title :

    Humanoid robot control system based on human pose detection


    Contributors:
    Wang, Kechao (editor) / Vijayalakshmi, M. (editor) / Wen, Jinghao (author) / Feng, Xuran (author) / Zhang, Qirui (author) / Yuan, Hongye (author) / Peng, Xi (author)

    Conference:

    Third International Conference on Control and Intelligent Robotics (ICCIR 2023) ; 2023 ; Sipsongpanna, China


    Published in:

    Proc. SPIE ; 12940


    Publication date :

    2023-12-01





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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