基于九点拉普拉斯算子的EGSOR迭代机器人路径规划

A. Saudi, J. Sulaiman
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引用次数: 4

摘要

路径规划是一个重要的问题,因为它允许机器人从起点到目标点。在本研究中,我们尝试基于势场法解决移动机器人的路径规划问题,该方法依赖于使用拉普拉斯方程来约束移动机器人构型空间区域上的势函数的生成。基于有限差分技术的实验显示了一种起始点和目标点之间路径光滑的局部无极小运动。本文提出了一种基于9点拉普拉斯算子的加权块迭代法(EGSOR-9)来求解机器人路径规划问题。仿真结果表明,与以往的方法相比,该方法具有更快的求解速度和更平滑的路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot Path Planning via EGSOR Iterative Method Using Nine-Point Laplacian
Path planning is an important issue as it allows a robot to get from start point to goal point. In this study, we attempts to solve path planning problem for mobile robot based on potential field method that relies on the use of Laplace's Equation to constrain the generation of a potential function over regions of the configuration space of a mobile robot. An experiment based on finite-difference techniques shows a local minima-free motion with smooth path between the start and goal points. This paper proposed a weighted block iterative method also known as EGSOR via 9-Point Laplacian (EGSOR-9) for solving robot path planning problem. The simulation result shows that this new method provides faster solution and smoother path compared to the previous work.
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