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About

Gregory LeMasurier is a robotics researcher whose work centers on human-robot interaction, robot explainability, and mobile manipulation. His research addresses one of the most pressing challenges in modern robotics: enabling humans and robots to work together safely, intuitively, and transparently in shared environments. LeMasurier's most influential contribution examines how robots can communicate their intentions to nearby human collaborators, with his 2021 study on robot intent expression accumulating 34 citations and establishing practical frameworks for factory floor collaboration. His work on mobile manipulation, demonstrated through participation in the competitive FetchIt! Challenge at ICRA 2019, highlights his hands-on approach to solving real-world manipulation problems in constrained environments (18 citations). More recently, LeMasurier has pioneered research into explainable robotics, investigating whether robots should reactively or proactively explain failures—a question critical to building human trust in autonomous systems (17 citations). His 2024 architecture leveraging Behavior Trees and Large Language Models to generate failure explanations represents a particularly forward-looking contribution to the field. Across his career, LeMasurier has also advanced virtual reality teleoperation interfaces, enabling more intuitive human control of complex robotic systems. His consistent publication record and growing citation impact mark him as an emerging voice shaping the future of human-robot collaboration.