Time-Efficient Mars Exploration of Simultaneous Coverage and Charging with Multiple Drones
November 16, 2020 Β· Declared Dead Β· π 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)
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Authors
Yuan Chang, Chao Yan, Xingyu Liu, Xiangke Wang, Han Zhou, Xiaojia Xiang, Dengqing Tang
arXiv ID
2011.07759
Category
cs.RO: Robotics
Cross-listed
cs.AI
Citations
0
Venue
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)
Last Checked
4 months ago
Abstract
This paper presents a time-efficient scheme for Mars exploration by the cooperation of multiple drones and a rover. To maximize effective coverage of the Mars surface in the long run, a comprehensive framework has been developed with joint consideration for limited energy, sensor model, communication range and safety radius, which we call TIME-SC2 (TIme-efficient Mars Exploration of Simultaneous Coverage and Charging). First, we propose a multi-drone coverage control algorithm by leveraging emerging deep reinforcement learning and design a novel information map to represent dynamic system states. Second, we propose a near-optimal charging scheduling algorithm to navigate each drone to an individual charging slot, and we have proven that there always exists feasible solutions. The attractiveness of this framework not only resides on its ability to maximize exploration efficiency, but also on its high autonomy that has greatly reduced the non-exploring time. Extensive simulations have been conducted to demonstrate the remarkable performance of TIME-SC2 in terms of time-efficiency, adaptivity and flexibility.
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