A Novel Path Planning Scheme Based on Improved Bi-RRT* Algorithm

The Bi-RRT* algorithm is a path planning algorithm for industrial robots.In this paper, Bi-RRT* algorithm is studied and improved.The improved Bi-RRT* algorithm reduces the iteration time by introducing artificial potential field method.And, the path cost is reduced and the path smoothness is improved by introducing greedy algorithm.Finally, the improved Bi-RRT* algorithm was simulated in three dimensional environment, and the superiority of the improved Bi-RRT* algorithm was demonstrated by comparative experiments.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os3-1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
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article

A Novel Path Planning Scheme Based on Improved Bi-RRT* Algorithm

Shengwei Liu, Miao Zhang
Proceedings of International Conference on Artificial Life and Robotics
Robotic Path Planning Algorithms
article

A Novel Path Planning Scheme Based on Improved Bi-RRT* Algorithm

Shengwei Liu, Miao Zhang
article en

Abstract

The Bi-RRT* algorithm is a path planning algorithm for industrial robots.In this paper, Bi-RRT* algorithm is studied and improved.The improved Bi-RRT* algorithm reduces the iteration time by introducing artificial potential field method.And, the path cost is reduced and the path smoothness is improved by introducing greedy algorithm.Finally, the improved Bi-RRT* algorithm was simulated in three dimensional environment, and the superiority of the improved Bi-RRT* algorithm was demonstrated by comparative experiments.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Tianjin University of Science and Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 68%
Robotic Path Planning Algorithms
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A Novel Path Planning Scheme Based on Improved Bi-RRT* Algorithm — Shengwei Liu, Miao Zhang · Proceedings of International Conference on Artificial Life and Robotics (2025) | TGRS Research Map | TGRS