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http://dx.doi.org/10.5139/JKSAS.2010.38.4.352

Area Search of Multiple UAV's based on Evolutionary Robotics  

Oh, Soo-Hun (한국항공우주연구원)
Suk, Jin-Young (충남대학교 항공우주공학과)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.38, no.4, 2010 , pp. 352-362 More about this Journal
Abstract
The simultaneous operation of multiple UAV's makes it possible to enhance the mission accomplishment efficiency. In order to achieve this, easily scalable control algorithms are required, and swarm intelligence having such characteristics as flexibility, robustness, decentralized control, and self-organization based on behavioral model comes into the spotlight as a practical substitute. Recently, evolutionary robotics is applied to the control of UAV's to overcome the weakness of difficulties in the logical design of behavioral rules. In this paper, a neural network controller evolved by evolutionary robotics is applied to the control of multiple UAV's which have the mission of searching limited area. Several numerical demonstrations show the proposed algorithm has superior results to those of behavior based neural network controller which is designed by intuition.
Keywords
Multiple UAV's; Evolutionary Robotics; Behavioral Model; Swarm Robotics; Genetic Algorithm;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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