Research on Mobile Device Path Planning Based on Improved A* Algorithm

Path planning for mobile devices is currently a hot research topic. To address the issue of excessive path turning points in the A* algorithm, we expand the search neighborhood. To improve the low search efficiency of the traditional A* algorithm, we enhance the cost function. Through experimental simulations and data comparisons, it is concluded that compared to the traditional A* algorithm, the optimized and improved A* algorithm results in fewer path turning points, shorter path lengths, and higher planning efficiency. The optimized and improved A* algorithm outperforms the traditional A* algorithm in terms of path planning time, path nodes, and turning points.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/spic62469.2024.10691611
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

Research on Mobile Device Path Planning Based on Improved A* Algorithm

Bo Yu, Xianxin Wei, Fangshi Wu
Robotic Path Planning Algorithms
article

Research on Mobile Device Path Planning Based on Improved A* Algorithm

Bo Yu, Xianxin Wei, Fangshi Wu
article en

Abstract

Path planning for mobile devices is currently a hot research topic. To address the issue of excessive path turning points in the A* algorithm, we expand the search neighborhood. To improve the low search efficiency of the traditional A* algorithm, we enhance the cost function. Through experimental simulations and data comparisons, it is concluded that compared to the traditional A* algorithm, the optimized and improved A* algorithm results in fewer path turning points, shorter path lengths, and higher planning efficiency. The optimized and improved A* algorithm outperforms the traditional A* algorithm in terms of path planning time, path nodes, and turning points.

Shenyang Ligong University (CN), Chinese Academy of Sciences (CN), Shenyang Institute of Computing Technology (China) (CN)
Openalex Percentile: Top 84%
Robotic Path Planning Algorithms
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