利用自由构型空间的自适应毛刺进行路径规划

B. Lacevic, Dinko Osmankovic, Adnan Ademovic
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引用次数: 2

摘要

本文提出了一种基于自由构型空间的自适应路径规划算法。原始规划算法快速探索树(RBT)是基于树节点的多向扩展来高效地探索自由构型空间。经验确定了合适的可拓方向数(可拓度),并在算法运行过程中保持固定。为了进一步提高路径规划器在迭代次数和运行时间方面的效率,本文研究了在算法执行过程中调整可拓度的可能性。验证研究表明,本文提出的自适应RBT算法(aRBT)优于原算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Path planning using adaptive burs of free configuration space
This paper presents an adaptive version of the path planning algorithm based on the recently proposed structure called bur of free configuration space. The original planning algorithm — rapidly exploring bur tree (RBT) is based on the multi-directional extension of tree nodes for efficient exploration of free configuration space. A suitable number of directions for extension (extension degree) was empirically determined and has been kept fixed during the algorithm run. This paper investigates the possibility to adapt the extension degree during the algorithm execution in order to further boost the efficiency of the path planner in terms of number of iterations and runtime. Validation study demonstrates that the proposed adaptive version of RBT algorithm (aRBT) outperforms the original algorithm.
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