Design and simulation study of multi-dimensional mobile robot under heavy duty working conditions

Jinyuan Tan; Yu Guo; Dong Lei; Xiao Shang; Jing Jiao; Linsen Song; Yiwen Zhang; Zhenhui Li

doi:10.1117/12.3030705

5 June 2024 Design and simulation study of multi-dimensional mobile robot under heavy duty working conditions

Jinyuan Tan, Yu Guo, Dong Lei, Xiao Shang, Jing Jiao, Linsen Song, Yiwen Zhang, Zhenhui Li

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131638X (2024) https://doi.org/10.1117/12.3030705
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

Driven by Industry 4.0 and Made in China 2025, mobile robots have ushered in rapid development. In this paper, a mechanical structure design scheme of heavy-duty mobile robot is proposed, including the design of drive scheme, etc. Based on the designed mechanical structure of heavy-duty mobile robot, a finite element model of the robot mechanical structure is established, and the stress distribution and deformation under the full-load condition are obtained through the static characterization of the robot model, and finally the road experiment is carried out for the robot, and the experimental results show that the mobile robot operates well under various working conditions and reaches the expected goal of the design. The experimental results show that the mobile robot runs well under various working conditions, and the heavy-duty mobile robot reaches the expected goal of the design.

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

Citation Download Citation

Jinyuan Tan, Yu Guo, Dong Lei, Xiao Shang, Jing Jiao, Linsen Song, Yiwen Zhang, and Zhenhui Li "Design and simulation study of multi-dimensional mobile robot under heavy duty working conditions", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131638X (5 June 2024); https://doi.org/10.1117/12.3030705

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