Design of topological configuration and key technologies for mining exoskeleton robots: application and prospects of level set algorithm

Qihang Zeng; Guanglin Tan; Qing Chen; Guangyong Wu; Tao Xi; Chao An

doi:10.1117/12.3037440

27 September 2024 Design of topological configuration and key technologies for mining exoskeleton robots: application and prospects of level set algorithm

Qihang Zeng, Guanglin Tan, Qing Chen, Guangyong Wu, Tao Xi, Chao An

Author Affiliations +

Proceedings Volume 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024); 1327532 (2024) https://doi.org/10.1117/12.3037440
Event: 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 2024, Wuhan, China

Abstract

This paper introduces a comprehensive topological design scheme for mining exoskeleton robots, emphasizing the level set algorithm's application. It addresses critical challenges and considerations in creating exoskeletons to enhance miners' survival and escape. Ergonomics, movement freedom, comfort, safety, and mine environment complexities are paramount. The level set algorithm accurately depicts boundary changes and topological structures, optimizing structure and reducing weight. The paper also highlights bone connections, joint and actuator design, algorithm optimization, and human-computer interaction. This provides a valuable reference for mining exoskeleton design, promoting their use in rescue operations and enhancing miners' safety and efficiency.

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

Citation Download Citation

Qihang Zeng, Guanglin Tan, Qing Chen, Guangyong Wu, Tao Xi, and Chao An "Design of topological configuration and key technologies for mining exoskeleton robots: application and prospects of level set algorithm", Proc. SPIE 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 1327532 (27 September 2024); https://doi.org/10.1117/12.3037440

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