Research on Path Planning Based on Artificial Potential Field Algorithm

Xiaoliang Guang, Shijie Guan, Hongwei Song
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引用次数: 1

Abstract

Artificial potential field (APF) algorithm is widely used in path planning research because of its simple structure, good real-time performance and smooth path generated to solve the problem of obstacle avoidance in task space environment. Aiming at the problem of inaccessibility and local minimum of artificial potential field algorithm, a hybrid algorithm of piece wise repulsive potential function and virtual target point obstacle filling is proposed. The results show that improved APF algorithm can solve problems of traditional APF algorithm to a certain extent.
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基于人工势场算法的路径规划研究
人工势场算法(Artificial potential field, APF)以其结构简单、实时性好、生成的路径平滑等优点,解决了任务空间环境下的避障问题,在路径规划研究中得到了广泛的应用。针对人工势场算法的不可达性和局部最小值问题,提出了一种分段排斥势函数与虚拟目标点障碍物填充的混合算法。结果表明,改进的APF算法在一定程度上解决了传统APF算法存在的问题。
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