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About

Kevin Yu is a robotics researcher whose work sits at the intersection of multi-robot systems, autonomous aerial vehicles, and precision agriculture. His research focuses on developing algorithmic and sensing solutions that enable teams of robots to collaboratively accomplish complex, long-horizon tasks in real-world environments. Yu's most influential contribution, "Persistent Monitoring with Refueling on a Terrain Using a Team of Aerial and Ground Robots" (2018, 35 citations), addresses the critical challenge of sustaining continuous surveillance and mapping operations by coordinating heterogeneous robot teams — a problem with significant implications for defense, agriculture, and environmental monitoring. His work on UAV-based crop phenotyping, which has garnered over 28 citations, demonstrates a particularly impactful applied contribution: using 3D LiDAR sensors mounted on drones to accurately measure crop heights at scale, providing farmers and plant scientists with high-throughput tools for monitoring crop health and growth cycles. More recently, Yu has advanced the theoretical foundations of multi-robot exploration, combining computational geometry and information-theoretic approaches to develop algorithms for efficiently mapping unknown environments. Together, his contributions reflect a researcher bridging rigorous algorithmic theory with practical autonomous systems, making meaningful strides across robotics, agriculture technology, and cooperative AI.