Nirban Roy
Papers
1
Total Citations
1
H-Index
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About
Nirban Roy is a researcher at the forefront of intelligent robotic systems and edge-enabled autonomous networks. His work centers on developing resilient, decentralized architectures for multi-agent systems operating in extreme environments, particularly post-disaster scenarios. Roy’s most notable contribution is the concept of “EdgeSwarm,” a pioneering framework that integrates opportunistic UAV networks with edge computing to coordinate robotic swarms for search-and-rescue missions. This approach addresses critical challenges in disaster relief—such as communication failures and dynamic terrain—by enabling real-time decision-making without reliance on centralized infrastructure. His research has already garnered attention, with his 2025 paper on EdgeSwarm cited early in its lifecycle, signaling growing impact in the fields of swarm robotics and edge intelligence. Beyond this, Roy explores the intersection of low-latency computing and autonomous coordination, aiming to make robotic teams more adaptive and efficient in unpredictable conditions. His work holds promise for transforming emergency response, infrastructure inspection, and environmental monitoring, positioning him as an emerging voice in next-generation autonomous systems.
Research Focus
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Top Papers
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