Paper
27 September 2024 Path planning for service robot based on improved A* algorithm
Fanghua Zhao, Yunzhou Chai, Lihua Wang
Author Affiliations +
Proceedings Volume 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024); 132753Y (2024) https://doi.org/10.1117/12.3037467
Event: 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 2024, Wuhan, China
Abstract
Aiming at the problems of high memory occupancy and too many inflection points and search points of A* algorithm in large-scale environment, an improved A* algorithm is proposed. Firstly, the adaptive adjustment of the heuristic function is realized by introducing dynamic weights to obtain the optimal path, and secondly, the cubic Bezier curve is used to smooth the path to reduce the number of inflection points. The simulation results show that the improved A* algorithm can significantly improve the path planning efficiency of service robots and reduce the task time of service robots.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Fanghua Zhao, Yunzhou Chai, and Lihua Wang "Path planning for service robot based on improved A* algorithm", Proc. SPIE 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 132753Y (27 September 2024); https://doi.org/10.1117/12.3037467
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KEYWORDS
Detection and tracking algorithms

Computer simulations

Mathematical optimization

Raster graphics

Industry

MATLAB

Mobile robots

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