基于进化粒子群算法的自主移动机器人导航路径规划

2019 Research, Invention, and Innovation Congress (RI2C) Pub Date : 2019-12-01 DOI:10.1109/RI2C48728.2019.8999920

Ittikon Thammachantuek, M. Ketcham

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引用次数: 0

摘要

本文提出了一种新的路径规划器——EPSO路径规划器。基于进化粒子群算法生成移动机器人的无碰撞路径。该算法通过对网格环境进行随机采样来寻找最优路径。仿真结果验证了该算法的有效性。得到的最短路径为11.45。

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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Path Planning for Autonomous Mobile Robot Navigation with Evolutionary Particle Swarm Optimization

In this article, we proposed a new path planner called EPSO path planner. It based on evolutionary particle swarm optimization to generating the collision-free path for a mobile robot. The proposed algorithm finds the optimal path by performing random sampling on grid based environment. The efficiency of the proposed algorithm is demonstrated by simulation. The shortest path obtained was 11.45.

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2019 Research, Invention, and Innovation Congress (RI2C)

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