CCPF-RRT: An improved path planning algorithm with consideration of congestion

Path planning is essential for robots to efficiently execute jobs in challenging settings. In this paper, we propose a new algorithm, called potential function-based sampling heuristic optimal path planning considering congestion (CCPF-RRT*), extending the standard Rapidly-exploring Random Tree star...

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Veröffentlicht in:	Expert systems with applications Jg. 228; S. 120403
Hauptverfasser:	Liang, Yan-ming, Zhao, Hai-yang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.10.2023
Schlagworte:	Considering congestion Path planning Rapidly-exploring Random Tree star (RRT) Sampling-based algorithms Considering congestion Path planning Rapidly-exploring Random Tree star (RRT) Sampling-based algorithms
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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