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About

Shamik Sengupta is a researcher whose work sits at the intersection of robotics, autonomous systems, and wireless communications, with a particular focus on multi-robot coordination for real-world emergency applications. His most influential contribution, "Area-Optimized UAV Swarm Network for Search and Rescue Operations" (2020, 61 citations), demonstrates his expertise in enabling unmanned aerial vehicles to self-organize into intelligent swarms capable of efficient path planning and robust communication during disaster relief missions. This work has become a key reference in the growing field of autonomous swarm robotics. Sengupta's earlier research laid important groundwork, including adaptive flocking control of unmanned ground vehicles guided by UAVs (2015) and mesh-networked multi-robot systems designed for search and rescue coordination (2018). His contributions extend into practical infrastructure as well, having developed and evaluated multi-hop mobile wireless mesh network testbeds with applications in Smart Cities and IoT environments. Across his body of work, Sengupta consistently bridges theoretical robotics with deployable systems, making his research especially valuable to engineers and first responders seeking scalable, communication-aware solutions for disaster response and autonomous mission execution.