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Butterfly Inspired Multi-robotic Swarm for Signal Source Localization

Chakravarthi Jada, Ch. Lokesh, Ashok Urlana, Shaik Gouse Basha, Baswani Pavan, Yerubandi Shirdi Swamy, Kantha Rao Bora, Karri Balaraju

Year
2017
Citations
3

Abstract

In biological species, cooperative social life and swarm intelligence have helped them to their survival sustainable growths. This paper considers one such recent inspiration model from butterflies so called Butterfly Mating Optimization (BMO), a meta-butterfly model preferred to capture all local-optima of multimodal functions simultaneously. This paper presents the design and architecture of Bflybots, a multi-mobile robot platform to the requirements of Bflies specified in the BMO algorithm. The multi-Bflybot swarm is designed to acts like butterflies in nature and follow the rules of algorithm. The practical experiments are conducted and the various results are presented. Finally, challenges that are faced and future aspects are initiated for further validation of the algorithm for other signal source localization.

Keywords

Computer scienceSwarm intelligenceSwarm behaviourButterflyRobotArtificial intelligenceSIGNAL (programming language)Particle swarm optimizationMachine learningEcology

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