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About

Yash Mulgaonkar is a pioneering roboticist whose research sits at the intersection of autonomous aerial vehicles, multi-robot systems, and real-world field robotics. He has made transformative contributions to the design and deployment of micro aerial vehicles (MAVs), particularly quadrotors capable of operating in GPS-denied, cluttered, and visually challenging environments. His early landmark work on collaborative ground-aerial robot mapping in earthquake-damaged buildings (2012, 379 citations) demonstrated the practical power of heterogeneous robot teams in disaster scenarios, establishing him as a leading voice in field robotics. Mulgaonkar has pushed the frontiers of autonomous flight through high-speed navigation algorithms that minimize perception-action latency, and through innovative swarm architectures that achieve robust coordination without explicit collision avoidance (2017, 73 citations). His interdisciplinary creativity is evident in projects like the "Flying Monkey," a mesoscale robot capable of running, flying, and grasping, and in leveraging smartphone-grade hardware to democratize aerial robotics. His work on infrastructure inspection using MAVs in dark, featureless penstocks further highlights his commitment to practical, high-impact applications. With over 1,000 cumulative citations, Mulgaonkar's research continues to shape the future of intelligent, agile, and collaborative autonomous systems.