Humanoid robot control system based on human pose detection

Jinghao Wen; Xuran Feng; Qirui Zhang; Hongye Yuan; Xi Peng

doi:10.1117/12.3010610

1 December 2023 Humanoid robot control system based on human pose detection

Jinghao Wen, Xuran Feng, Qirui Zhang, Hongye Yuan, Xi Peng

Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 1294011 (2023) https://doi.org/10.1117/12.3010610
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China

Abstract

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

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jinghao Wen, Xuran Feng, Qirui Zhang, Hongye Yuan, and Xi Peng "Humanoid robot control system based on human pose detection", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 1294011 (1 December 2023); https://doi.org/10.1117/12.3010610

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KEYWORDS

Control systems

Pose estimation

Signal processing

Convolution

Convolutional neural networks

Detection and tracking algorithms

Image processing

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