1. Butterfly Inspired Multi-robotic Swarm for Signal Source Localization
- Author
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Ch. R. S. Lokesh, Kantha Rao Bora, Karri Balaraju, Urlana Ashok, Shaik Gouse Basha, Baswani Pavan, Yerubandi Shirdi Swamy, and Chakravarthi Jada
- Subjects
business.industry ,Computer science ,Patrolling ,010401 analytical chemistry ,Signal source ,Swarm behaviour ,02 engineering and technology ,01 natural sciences ,Swarm intelligence ,0104 chemical sciences ,Biological species ,Butterfly ,0202 electrical engineering, electronic engineering, information engineering ,Robot ,020201 artificial intelligence & image processing ,Artificial intelligence ,Architecture ,business - 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.
- Published
- 2017
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