局部未知环境下移动机器人的路径规划

Zhang Xiaoran, Ju Hehua
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引用次数: 1

摘要

针对移动机器人在局部未知环境下的路径规划问题,提出了一种综合全局路径规划和局部路径规划优点的新方法。全局路径规划器使用A*算法生成一系列到目标节点的最优节点,并剔除冗余节点,生成更精确导向的全局路径。局部规划器充分利用机器人实时检测到的局部环境信息,在全局路径引导下在线优化路径规划。该方法有效地结合了全局引导和局部优化,适用于局部未知环境。
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 of mobile robot in local unknown environment
Based on path planning of mobile robot in local unknown environment, a new method which combines the benefits of global and local path planner is proposed. The global path planner uses A*algorithm to generate a series of optimal nodes to the target node, and cut some redundant of which to generate global guide path with more exact guiding direction. And the local planner makes full use of the real-time local environmental information detected by the robot and the path planning is optimize on-line under the conduct of global guide path. This method combines global guiding and local optimization in an effective way and so it is well suitable for local unknown environment.
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