PQ-RRT: An improved path planning algorithm for mobile robots

•Propose a sampling-based asymptotically optimal path planning algorithm.•The proposed algorithm guarantees a fast convergence rate.•Theoretical proof of asymptotic optimality and fast convergence rate is given. During the last decade, sampling-based algorithms for path planning have gained consider...

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Veröffentlicht in:	Expert systems with applications Jg. 152; S. 113425
Hauptverfasser:	Li, Yanjie, Wei, Wu, Gao, Yong, Wang, Dongliang, Fan, Zhun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 15.08.2020 Elsevier BV
Schlagworte:	Algorithms Asymptotic properties Convergence Optimal path planning Optimization Path planning Rapidly-exploring random tree (RRT) Sampling-based algorithms Path planning Rapidly-exploring random tree (RRT) Optimal path planning Sampling-based algorithms
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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