A Rescue Robot Path Planning Based on Ant Colony Optimization Algorithm

被引：2

作者：

Zhang, Xiaoyong ^{[1
]}

Wu, Min ^{[1
]}

Peng, Jun ^{[1
]}

Jiang, Fu ^{[1
]}

机构：

[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China

来源：

ITCS: 2009 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE, PROCEEDINGS, VOL 2, PROCEEDINGS | 2009年

关键词：

Path Planning; ACO; RoboCupRescue;

D O I：

10.1109/ITCS.2009.177

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper addressed a robot path planning algorithm based on improved ant colony optimization. The ant colony algorithm is used for a global path planning in robot rescue. A target attracting function is introduced to guide the searching process which can improve the search quality of ant colony algorithm in the complex and dynamic environment. The affectivity of proposed algorithm is verified in a standard test bed, RoboCupRescue simulation system.

引用

页码：180 / 183

页数：4

共 4 条

[1] Ant system: Optimization by a colony of cooperating agents [J].

Dorigo, M ;

Maniezzo, V ;

Colorni, A .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1996, 26 (01) :29-41

[2]

Kitamura Y., 1995, Proceedings. 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots (Cat. No.95CB35836), P474, DOI 10.1109/IROS.1995.526259

[3]

Kitano H., 1999, IEEE SMC 99 C P, V6, P739

[4]

MARSHALL GY, 1999, 2 INT C ART NEUR NET, P149

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