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An Improved Artificial Potential Field-based SImultaneous FORward Search (Improved APF-based SIFORS) method for robot path planning

Guanghui Li, Shuiguang Tong, Gang Lv, Renyuan Xiao, Feiyun Cong, Zhe-Ming Tong, Atsushi Yamashita, Hajime Asama

发表年份
2015
引用次数
11

摘要

An effective Improved Artificial Potential Field-based SImultaneous FORward Search (Improved APF-based SIFORS) method was developed in known environment, which was very similar with the path relaxation method. We firstly redefined potential functions to calculate a valid path, then proposed a SImultaneous FORward Search method (SIFORS method) to shorten the distance of planned path. Such path was calculated by connecting the sequential points produced by Improved APF method. And we mainly focused on discussing the Bidirectional Improved APF-based SIFORS method in this paper. The simulation results confirmed that our proposed path planning approach could calculate a shorter, collision-free, no oscillations and safe path to a destination than general Improved APF methods can, and consumed few computational times.

关键词

Motion planningPath (computing)Potential fieldComputer scienceMathematical optimizationRelaxation (psychology)CollisionAny-angle path planningField (mathematics)Robot

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