HB-RRT:A path planning algorithm for mobile robots using Halton sequence-based rapidly-exploring random tree

Path planning remains crucial for efficient robot operation. A Halton Biased Rapidly-exploring Random Tree (HB-RRT) path planning algorithm is introduced in this study. The Halton sequence, known for its uniform distribution and low discrepancy, is employed for sampling. Issues arising from the pseu...

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 133; p. 108362
Main Authors:	Zhong, Huageng, Cong, Ming, Wang, Minghao, Du, Yu, Liu, Dong
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2024
Subjects:	Halton sequence Mobile robotics Optimal path planning Path planning Rapidly-exploring random tree (RRT) Sampling-based algorithms Path planning Rapidly-exploring random tree (RRT) Halton sequence Optimal path planning Mobile robotics Sampling-based algorithms
ISSN:	0952-1976, 1873-6769
Online Access:	Get full text
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