A BIT* algorithm with dilated vertices-based path stretching strategy

The path planning of mobile robots is a critic issue in robotics. The existing algorithms face challenges in terms of path quality and convergence speed. To enhance planning efficiency and path optimality, this paper proposes a novel algorithm: dilated vertices-based stretching BIT* (DS-BIT*) algori...

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Bibliographic Details
Main Authors: Xuanle Wu, Pu Li, Zhicheng Hou
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
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Online Access:http://www.sciencedirect.com/science/article/pii/S259012302502777X
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Summary:The path planning of mobile robots is a critic issue in robotics. The existing algorithms face challenges in terms of path quality and convergence speed. To enhance planning efficiency and path optimality, this paper proposes a novel algorithm: dilated vertices-based stretching BIT* (DS-BIT*) algorithm. The proposed method integrates a path-stretching strategy based on dilated vertices into the BIT* framework. After finding a path, the algorithm improves it using the dilated vertices-based path-stretching algorithm. This approach effectively removes redundant waypoints, enhances path smoothness, and reduces the overall path cost. A lower path cost facilitates faster contraction of the informed search region, thereby improving the path convergence speed. In addition, DS-BIT* performs bidirectional improvement of the final path at the end of the algorithm, further reducing the final path cost. Comparative experiments with RRT*, Informed RRT*, and BIT* in both simple and complex environments demonstrate the superior performance of DS-BIT* in terms of planning efficiency and path quality.
ISSN:2590-1230