FHQ-RRT: An Improved Path Planning Algorithm for Mobile Robots to Acquire High-Quality Paths Faster

The Rapidly-exploring Random Tree Star (RRT*) algorithm, widely utilized for path planning, faces challenges, such as slow acquisition of feasible paths and high path costs. To address this issue, this paper presents an improved algorithm based on RRT* that can obtain high-quality paths faster, term...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 25; H. 7; S. 2189
Hauptverfasser:	Dong, Xingxiang, Wang, Yujun, Fang, Can, Ran, Kemeng, Liu, Guohui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 30.03.2025 MDPI
Schlagworte:	Autonomous vehicles Efficiency Genetic algorithms Methods optimal path planning Optimization path planning Planning rapidly explored random tree Robots sampling-based algorithms Sensors optimal path planning sampling-based algorithms path planning rapidly explored random tree
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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