Research on Path Planning of Airport VIP Service Robot Based on A* Algorithm and Artificial Potential Field Method

Yongguang Jin
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Abstract

Aiming at the path planning problem of service robot movement in complex environment, this paper proposes a path planning method combining global planning with local planning algorithm. And then, a new algorithm is carried out by optimizing A*algorithm and artificial potential field algorithm. The results show that the new algorithm has reduced inflection points and break points, made the route smoother and decreased the collision probability of the service robot in the different environments of path planning. Compared with the traditional algorithms, it is found that the new algorithm has better results of path planning through shortening the running time by 59.13% and reducing the length of the optimal path by 52.3%. The algorithm has certain advantages for the service robot to adapt to the path planning in various environments.
基于A*算法和人工势场法的机场VIP服务机器人路径规划研究
针对服务机器人在复杂环境中运动的路径规划问题,提出了一种将全局规划与局部规划算法相结合的路径规划方法。然后,通过对a *算法和人工势场算法的优化,实现了一种新的算法。结果表明,新算法减少了服务机器人在不同路径规划环境下的拐点和断点,使路径更加平滑,降低了服务机器人的碰撞概率。与传统算法相比,新算法运行时间缩短59.13%,最优路径长度缩短52.3%,具有更好的路径规划效果。该算法对服务机器人适应各种环境下的路径规划具有一定的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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