Particle swarm optimization based multi-robot task allocation using wireless sensor network

Author

Xun Li ; Ma Hong-xu

Author_Institution

Coll. of Electromech. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha

fYear

2008

fDate

20-23 June 2008

Firstpage

1300

Lastpage

1303

Abstract

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.

Keywords

mobile robots; multi-robot systems; particle swarm optimisation; sensor fusion; wireless sensor networks; bionic swarm intelligence; mobile robot; multiobjective optimization; multirobot task allocation; particle swarm optimization; sensor fusion; wireless sensor network; Automation; Educational institutions; Heuristic algorithms; Mobile robots; Multirobot systems; Particle swarm optimization; Sensor fusion; Stability; Stochastic processes; Wireless sensor networks; Multi-Robot System; Multi-Robot Task Allocation; Particle Swarm Optimization Algorithm; Swarm Intelligence; Wireless Sensor Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation, 2008. ICIA 2008. International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-2183-1

Electronic_ISBN

978-1-4244-2184-8

Type

conf

DOI

10.1109/ICINFA.2008.4608201

Filename

4608201