Combining harmonic functions and random sampling in robot motion planning: a performance evaluation

P. Iñiguez, J. Rosell
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引用次数: 1

Abstract

The paper evaluates the performance of a potential field planner based on the use of harmonic functions and a random sampling scheme. Such a planner, called PHM, is probabilistic and resolution complete. The failure probability to connect to configurations a and b is studied, provided that the path exists.
机器人运动规划中谐波函数与随机抽样相结合的性能评价
本文评价了基于谐波函数和随机抽样方案的势场规划器的性能。这样的计划,称为PHM,是概率和解决方案完整的。研究了在路径存在的情况下,连接构型a和构型b的失败概率。
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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