Michael Dupuis

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About

Michael Dupuis is a leading researcher in autonomous robotic systems for space exploration, with a primary focus on in-situ resource utilization (ISRU) for lunar missions. His work centers on developing intelligent control algorithms that enable robots to perform complex excavation tasks with minimal human intervention. Dupuis’s major contributions include pioneering the application of deep reinforcement learning to enable autonomous lunar resource excavation, as demonstrated in his highly regarded 2021 paper, which has garnered 5 citations and features a video presentation. He further advanced the field with his 2023 study on using Dynamic Movement Primitives for lunar excavator mission operations, also cited 5 times. Both works directly support NASA’s ambitious ISRU Pilot Excavator mission, slated for launch later this decade, by providing the foundational control strategies for the Regolith Advanced Surface Systems Operations Robot (RASSOR). Dupuis’s research is critical for establishing sustainable lunar infrastructure, as it addresses the core challenge of reliably extracting regolith for in-situ processing and construction. His achievements position him at the forefront of autonomous space robotics, bridging the gap between terrestrial machine learning and extraterrestrial operational demands.