基于改进蚁群优化的机器人路径规划

2018 International Conference on Robots & Intelligent System (ICRIS) Pub Date : 2018-05-26 DOI:10.1109/ICRIS.2018.00015

Huang Shuyun, Tang Shoufeng, Song Bin, Tong Minming, Jiang Mingyu

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引用次数: 10

摘要

针对静态复杂环境下机器人的全局路径规划问题，首先采用网格法对机器人的工作环境进行建模，然后引入蚁群优化算法。在分析算法基本原理的基础上，提出了一种机器人路径规划方案。最后通过仿真实验和分析验证了改进算法的有效性和实用性。

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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Robot Path Planning Based on Improved Ant Colony Optimization

Aiming at the problem of global path planning of robots under static and complicated environment, firstly, the working environment of the robot is modeled by the grid method, and then the ant colony optimization is introduced. After analyzing the basic principle of the algorithm, this paper proposes a robot path planning scheme. Finally, the simulation experiment and analysis verify the validity and practicability of the improved algorithm.

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来源期刊

2018 International Conference on Robots & Intelligent System (ICRIS)

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