Pavan Baswani

Rajiv Gandhi University of Knowledge Technologies

Papers

Total Citations

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About

Pavan Baswani’s research lies at the intersection of swarm robotics and bio-inspired algorithms, with a particular focus on translating complex biological behaviors into engineered multi-agent systems. His most significant contributions center on the development of the BflyBot platform—a mobile robotic system designed to emulate the butterfly mating phenomenon. In his 2018 paper “BflyBot: Mobile robotic platform for implementing Butterfly mating phenomenon,” Baswani introduced a novel framework that transforms the seemingly random flight patterns and mate-selection strategies of butterflies into a structured, artificial metaphor for robotic coordination. This work, which has garnered 4 citations, lays the groundwork for decentralized swarm intelligence. Expanding on this concept, his follow-up study “Bflybots: A Novel Robotic-Swarm in Pursuit of Dynamic Signal Sources” (2 citations) demonstrated how these bio-inspired robots can collaboratively locate and track moving signal sources—a task with direct applications in search-and-rescue, environmental monitoring, and autonomous exploration. By bridging ethology and robotics, Baswani’s research offers a fresh perspective on how nature’s subtle communication strategies can inspire robust, adaptive robotic swarms, making his work a valuable reference for students and researchers interested in biologically grounded multi-robot systems.