一种改进的人工势场法在未知环境下实时移动机器人路径规划中的应用

J. Sfeir, M. Saad, H. Saliah-Hassane
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引用次数: 103

摘要

本文研究了未知环境下移动机器人的导航问题。该方法基于人工势场(APF)方法,其中目标产生吸引机器人的虚拟势,而障碍物产生排斥机器人的虚拟势。提出了一种新的斥力形式,以减少振动并避免目标靠近障碍物时的冲突。旋转力也被整合在一起,允许在障碍物周围更平滑的轨迹。实验结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved Artificial Potential Field approach to real-time mobile robot path planning in an unknown environment
This paper deals with the navigation of a mobile robot in an unknown environment. The approach developed is based on the Artificial Potential Field (APF) method in which the target creates a virtual potential that attracts the robot while obstacles create a virtual potential that repels the robot. A new form of repelling potential is proposed in order to reduce oscillations and to avoid conflicts when the target is close to obstacles. A rotational force is integrated as well, allowing for a smoother trajectory around the obstacles. Experiment results show the effectiveness of the proposed approach.
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