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Efficient Multi-Robot Coverage of an Unknown Environment

Zihao Chen, Zhihong Peng, Lei Jiao, Yuanyuan Gui

发表年份
2021
引用次数
5

摘要

This paper discusses the complete area coverage of multi-robots in unknown environments. Finding the optimal solution for the problem of area coverage with multiple robots has been proven to be NP-hard. This paper proposes the Multi-agent Node Backtracking Area Coverage (MANBAC) algorithm, which uses improved BCD local area coverage method, and the node backtracking method that is based on the A* algorithm to achieve complete coverage of the entire unknown area. Compared with the area coverage of a single robot, use multi robots can greatly improve the efficiency of area coverage. Compared with the existing coverage algorithms in known area, this study can be applied to a wider range of area scenarios which are not known.

关键词

BacktrackingRobotComputer scienceNode (physics)AlgorithmArtificial intelligenceEngineering

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