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
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