GAO-RRT*: A path planning algorithm for mobile robot with low path cost and fast convergence

Path planning is an essential research topic in the navigation of mobile robots. Currently, rapidly-exploring random tree star (RRT*) and its variants are known for their probabilistic completeness and asymptotic optimality, making them effective in finding solutions for many path planning problems....

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Bibliographic Details

Published in:	AIMS Mathematics
Main Authors:	Lijuan Zhu, Peng Duan, Leilei Meng, Xiaohui Yang
Format:	Article
Language:	English
Published:	AIMS Press 2024-03-01
Subjects:	mobile robots path planning gao-rrt* dual-weighted sample strategy variable step size extension strategy reverse growth strategy
Online Access:	https://www.aimspress.com/article/doi/10.3934/math.2024587?viewType=HTML