Abstract: Robot path planning is a key technology for achieving autonomous navigation and efficient operation of robots. In order to improve the autonomous navigation capability of mobile robots, a global path planning model based on an improved A* algorithm and a local path planning model based on an improved artificial potential field method were designed. The results showed that the turns in the optimal path under the improved A* algorithm were 8, 5, 9, and 5, respectively. The improved artificial potential field method achieved a maximum planning time of 0.17s and a minimum planning time of 0.11s. The designed global and local path planning models for mobile robots have good performance and can provide technical support for improving the autonomous navigation capability of mobile robots for industrial manufacturing.

Jing Xie, Chunyuan Xu and Qianxi Yang, “Robot Path Planning Model Based on Improved A* Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 16(5), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160523

@article{Xie2025,
title = {Robot Path Planning Model Based on Improved A* Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160523},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160523},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {5},
author = {Jing Xie and Chunyuan Xu and Qianxi Yang}
}