基于概率图的人工势场路径规划算法

Min-Ho Kim, Jung-Hun Heo, Yuanlong Wei, Min-Cheol Lee
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引用次数: 18

摘要

路径规划问题是移动机器人控制中的主要问题。在路径规划方法中,人工势场理论因其提供简单有效的运动控制输入而被广泛应用于移动机器人。但有时很难检测到障碍物的确切形状,因为某些障碍物可以自己移动,因此我们只能检测到它的概率。因此,我们提出了利用势场和概率信息进行路径规划的方法。然后,我们对算法进行仿真并展示结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A path planning algorithm using artificial potential field based on probability map
Path planning problem is the major issue of the control of mobile robot. Among the path planning methods the artificial potential field theory is widely used for mobile robots, because it provides simple and effective motion control input. But sometimes it is hard to detect exact obstacle shape, because some obstacle can move itself, thus we can detect its probability only. So we suggest the path planning method using potential field with the probability information. After that we simulate our algorithm and show the results.
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