Frontiers in Robotics and AI (Jul 2023)

Research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system

  • Yingchun Xie,
  • Chaoqun Liu,
  • Xuguang Chen,
  • Guijie Liu,
  • Dingxin Leng,
  • Wei Pan,
  • Shuai Shao

DOI
https://doi.org/10.3389/frobt.2023.1224115
Journal volume & issue
Vol. 10

Abstract

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Deep-sea manganese nodules are abundant in the ocean, with high exploitation potential and commercial value, and have become mineral resources that coastal countries compete to develop. The pipeline-lifting mining system is the most promising deep-sea mining system at present. A deep-sea mining vehicle is the core equipment of this system. Mining quality and efficiency rely on mining vehicles to a great extent. According to the topographic and geomorphic environmental characteristics of deep-sea manganese nodules at the bottom of the ocean, a new deep-sea mining system based on an autonomous manganese nodule mining vehicle is proposed in this paper. According to the operating environment and functional requirements of the seabed, a new mining method is proposed, and the global traverse path planning research of the autonomous manganese nodule mining vehicle based on this mining method is carried out. The arc round-trip acquisition path planning method is put forward, and the simulation verification shows that the method effectively solves the problems of low efficiency of mining vehicle traversing acquisition and obstacle avoidance.

Keywords