Robot global path planning based on improved ant colony algorithm

被引：0

作者：

Wang Rui ^{[1
]}

Wang Jinguo ^{[2
]}

Wang Na ^{[3
]}

机构：

[1] Jilin Business & Technol Coll, Dept Informat Engn, Jilin, Peoples R China

[2] Jilin Univ, Hosp 1, Dept Urol, Jilin, Peoples R China

[3] Jilin Univ, Hosp 1, Dept Anaesthesiol, Jilin, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MATERIAL, MECHANICAL AND MANUFACTURING ENGINEERING | 2015年 / 27卷

关键词：

Mobile robot; Global Path planning; Ant colony algorithm;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, we present a path planning for mobile robot based on improved ant colony optimization algorithm. In order to increasing the algorithm's convergence speed and avoiding to fall into local optimum, we proposed updating the pheromone residues. Experiments show that this method is effective and feasible.

引用

页码：946 / 949

页数：4