Particle Swarm Optimization Based Multi-Robot Task Allocation Using Wireless Sensor Network

被引：6
|
作者：
Li Xun [1 ]
Ma Hong-xu [1 ]
机构：
[1] Natl Univ Def Technol, Coll Electromech Engn & Automat, Changsha 410073, Hunan, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4 | 2008年
关键词：
Particle Swarm Optimization Algorithm; Multi-Robot Task Allocation; Multi-Robot System; Wireless Sensor Network; Swarm Intelligence;
D O I：
10.1109/ICINFA.2008.4608201
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To solve the multi-robot task allocation (MRTA) especially in unknown complex environment, a novel dynamic algorithm was put forward with the advantages of wireless sensor network (WSN). The architecture and sensor fusion of WSN were discussed. Particle swarm optimization (PSO) algorithm based on bionic swarm intelligence was used for solution of the multi-objective optimization. A practical implementation with real WSN and real mobile robots were carried out. The successful implementation of tasks validates the efficiency, stability and accuracy of the proposed algorithm.
引用
收藏
页码：1300 / 1303
页数：4
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