DocumentCode :
535917
Title :
Ants Based Control of Swarm Robots for Bushfire Fighting
Author :
Wang, D. ; Kwok, N.M. ; Fang, G. ; Jia, Xiuping ; Li, F.
Author_Institution :
Sch. of Mech. & Manuf. Eng., Univ. of New South Wales, Sydney, NSW, Australia
Volume :
1
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
528
Lastpage :
532
Abstract :
The use of a swarm of autonomous robots for simulated bushfire fighting is studied in this work. A distributed and behavioral control strategy, the Ants based Control of Swarm Robots (ACSR), is proposed. In this approach, each fire fighting robot can operate independently from decentralized controllers and the goal is accomplished by the individual robot´s own ability. In particular, improvements on the conventional Ant System path planning method are made which enables the ACSR capable of tackling multiple goal problems. The ACSR is evaluated in the simulation of a bushfire fighting scenario comprising of forty swarm robots and multiple fire fronts. It is shown that swarm robots using ACSR are able to locate and extinguish fire efficiently in dynamic and unknown environments.
Keywords :
distributed control; fires; mobile robots; multi-robot systems; path planning; service robots; ACSR; ant system path planning method; ants based control; autonomous robot; behavioral control strategy; bushfire fighting; decentralized controller; distributed control strategy; fire fighting robot; multiple fire front; swarm robot; tackling multiple goal problem; Australia; Cities and towns; Path planning; Robot kinematics; Robot sensing systems; Storage tanks; Swarm intelligence; ant colony optimization; autonomous robot; bushfire fighting; path planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.116
Filename :
5655402
Link To Document :
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