希尔伯特空间填充曲线的避障修正:机器人路径规划策略

Anant A. Joshi, Maulik Bhatt, A. Sinha
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引用次数: 2

摘要

本文讨论了在存在障碍物的情况下,利用希尔伯特空间填充曲线探索区域的问题。假定对被勘探区域没有事先的了解。提出了一种在线算法,该算法可以实现规避策略,避开最多两个并排放置的障碍物,并成功地探索整个区域。该策略是指定改变路径点阵列,由机器人跟随,局部在洞。利用希尔伯特空间填充曲线的分形性质证明了解的有效性。给出了算法在较大障碍物情况下的推广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modification of Hilbert’s Space-Filling Curve to Avoid Obstacles: A Robotic Path-Planning Strategy
This paper addresses the problem of exploring a region using Hilbert’s space-filling curve in the presence of obstacles. No prior knowledge of the region being explored is assumed. An online algorithm is proposed which can implement evasive strategies to avoid up to two obstacles placed side by side and successfully explore the entire region. The strategies are specified changing the waypoint array followed by the robot, locally at the hole. The fractal nature of Hilbert’s space-filling curve has been exploited in proving the validity of the solution. Extension of algorithm for bigger obstacles is briefly shown.
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