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Journal of System Simulation

Abstract

Abstract: To address the energy optimization problem in multi-robot path planning, this paper proposed a multi-robot path planning algorithm based on the energy-guided hierarchical cooperative A* (E-HCA*) algorithm. To address the issue of robot oscillations caused by mutual avoidance at bottlenecks and narrow passages in multi-robot systems, a node expansion method with path length as a secondary feature was introduced, and a greedy suppression strategy under the cooperative A* framework was proposed. A differential-drive robot energy consumption model was established, and an energy-guided heuristic function was constructed by integrating energy metrics into the underlying A* algorithm to guide low-energy path planning. The results show that the proposed algorithm effectively solves the oscillating path problem, achieving a shorter sum of length and lower sum of energy compared to existing algorithms, thereby improving path quality.

First Page

2630

Last Page

2642

CLC

TP242; TP18

Recommended Citation

Wang Ning, Mao Jianlin, Li Dayan, et al. Low-energy Multi-robot Path Planning Algorithm under HCA* Framework[J]. Journal of System Simulation, 2025, 37(10): 2630-2642.

Corresponding Author

Mao Jianlin

DOI

10.16182/j.issn1004731x.joss.24-0515

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