An Improved ACO Algorithm for Mobile Robot Path Planning

被引：0
|
作者：
Cheng, Juntao
Miao, Zhihuai
Li, Bing [1 ]
Xu, Wenfu
机构：
[1] State Key Lab Robot & Syst, Harbin 518055, Peoples R China
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA) | 2016年
基金：
美国国家科学基金会;
关键词：
path planning; ACO; SA; TSP;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Path planning is an important part in Mobile robot researches. For the characteristics of mobile environment, it builds two kind of environment models including obstacle environment and barrier free environment. On the basis of the model, TSP model is a traditional template for path planning with kinds of intelligence algorithm. This paper introduces an improved colony algorithm and it performs well in getting an optimization patrol path for mobile robot in situation with obstacle.
引用
收藏
页码：963 / 968
页数：6
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