Gait stability control technology for intelligent detection robot of electric power hardware

Jun Lai; Long Li; Liangliang Cheng; Xiang Li; Xinghua Tan

doi:10.1117/12.3026873

27 March 2024 Gait stability control technology for intelligent detection robot of electric power hardware

Jun Lai, Long Li, Liangliang Cheng, Xiang Li, Xinghua Tan

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 1310535 (2024) https://doi.org/10.1117/12.3026873
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

With the widespread application of intelligent detection robots for power fittings, the stability control of their motion and gait has become a key issue of concern. This paper conducts research on this issue and proposes an effective control technique. Firstly, the motion characteristics of the intelligent detection robot for power fittings were analyzed, including mechanical structure, dynamic characteristics, and other aspects. Then, based on the wavelet neural network algorithm, a stability controller was designed to achieve smooth and stable motion of the robot. Finally, the effectiveness and feasibility of the proposed control technology were verified through experiments. The experimental results indicate that this control technology can improve the gait stability of the intelligent detection robot for power fittings, and enhance its work efficiency and safety.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jun Lai, Long Li, Liangliang Cheng, Xiang Li, and Xinghua Tan "Gait stability control technology for intelligent detection robot of electric power hardware", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 1310535 (27 March 2024); https://doi.org/10.1117/12.3026873

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