DocumentCode :
2701437
Title :
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
Link To Document :
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