An Improved Robot Path Planning Algorithm Based on Bi-RRT

Aiming at the problems of low path generation efficiency, untargeted expansion direction, slow convergence speed and many redundant nodes of the Bi-RRT algorithm, an improved Bi-RRT algorithm is proposed that combines the advantages of heuristic information and Dijkstra algorithm. This algorithm optimizes the node selection strategy through heuristic information and combines the shortest path optimization advantages of Dijkstra's algorithm to find the optimal collision-free path from the starting point to the target point. Simulation results in multiple sets of complex environments show that the improved algorithm has significantly improved in terms of planning time, path length, number of redundant nodes, and number of iterations, verifying the superiority of the improved algorithm.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/aiac63745.2024.10899467
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

An Improved Robot Path Planning Algorithm Based on Bi-RRT

Kai Liu, Dongyang Zhang, Hualiang Zhang
Robotic Path Planning Algorithms
article

An Improved Robot Path Planning Algorithm Based on Bi-RRT

Kai Liu, Dongyang Zhang, Hualiang Zhang
article en

Abstract

Aiming at the problems of low path generation efficiency, untargeted expansion direction, slow convergence speed and many redundant nodes of the Bi-RRT algorithm, an improved Bi-RRT algorithm is proposed that combines the advantages of heuristic information and Dijkstra algorithm. This algorithm optimizes the node selection strategy through heuristic information and combines the shortest path optimization advantages of Dijkstra's algorithm to find the optimal collision-free path from the starting point to the target point. Simulation results in multiple sets of complex environments show that the improved algorithm has significantly improved in terms of planning time, path length, number of redundant nodes, and number of iterations, verifying the superiority of the improved algorithm.

Shenyang Ligong University (CN), Shenyang Institute of Automation (CN), Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 72%
Robotic Path Planning Algorithms
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An Improved Robot Path Planning Algorithm Based on Bi-RRT — Kai Liu, Dongyang Zhang, et al. · (2024) | TGRS Research Map | TGRS