Benjamin Kehoe

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About

Benjamin Kehoe is a pioneering researcher in the intersection of cloud computing and autonomous robotics, with a focus on multi-robot systems and intelligent grasping. His work has fundamentally advanced how robotic systems leverage distributed resources for enhanced autonomy. Kehoe’s most influential contribution is his development of an autonomous unmanned aerial vehicle (UAV) system for cooperative sensing and tracking, a highly cited work (16 citations) that demonstrated how single operators can manage entire UAV fleets for surveillance tasks, reducing risks associated with manned operations. He further pioneered the concept of Cloud Robotics, defining architectures where robots offload computation and data to networked resources—a paradigm that has shaped modern automation. His 2014 paper on cloud-based methods for robot grasping (5 citations) laid groundwork for robots to access vast datasets and processing power for dexterous manipulation. Kehoe also contributed to modular system design for mobile robotics, proposing a multi-level architecture that enables scalable, reconfigurable robot teams. By bridging cloud infrastructure with physical robotics, Kehoe has enabled more capable, cost-effective systems, influencing fields from warehouse automation to disaster response. His work remains essential reading for researchers building the next generation of connected, intelligent robots.