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.
Recommended Citation
Wang, Ning; Mao, Jianlin; Li, Dayan; Fang, Chengyuan; and Qian, Chengze
(2025)
"Low-energy Multi-robot Path Planning Algorithm under HCA* Framework,"
Journal of System Simulation: Vol. 37:
Iss.
10, Article 16.
DOI: 10.16182/j.issn1004731x.joss.24-0515
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss10/16
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.
DOI
10.16182/j.issn1004731x.joss.24-0515
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