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Research paper

Distributed Cooperative Complete Coverage Path Planning in an Unknown Environment Based on a Heuristic Method

Qichen Dong*,†, Jia Zhang*,† 
School of Automation, Beijing Institute of Technology Beijing 100081, P. R. China
National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology, Beijing 100081, P. R. China

This paper was recommended for publication in its revised form by editorial board member, Yunfeng Zhang.

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Abstract

This paper proposes a distributed collaborative complete coverage path planning (CCPP) algorithm based on a heuristic method to solve a CCPP problem for multiple agents in an unknown environment. Based on the relationship between path length, energy consumption and number of turns, the algorithm instructs the agents to autonomously plan their respective paths in real time by giving the priority of directions. Simulation experiments show that the proposed CCPP algorithm can guarantee efficient collision-free complete coverage compared with related approaches.

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Unmanned Systems
Pages 149-160

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Cite this article:
Dong Q, Zhang J. Distributed Cooperative Complete Coverage Path Planning in an Unknown Environment Based on a Heuristic Method. Unmanned Systems, 2024, 12(1): 149-160. https://doi.org/10.1142/S2301385024500109

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Received: 15 July 2022
Revised: 26 November 2022
Accepted: 26 November 2022
Published: 20 January 2023
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