معرفی
Dr. Renaud Detry is Associate Professor of Robot Learning at KU Leuven with dual appointments in Electrical and Mechanical Engineering. His research develops learning algorithms for robotic perception and manipulation in challenging environments including construction, healthcare, and space operations.
Current projects address uncertainty-aware learning systems, robotic sand grading, multi-task policy training, and trajectory prediction for shared control. Applications range from terrestrial construction automation to NASA's Mars Sample Return mission, where he served as machine-vision lead.
As associate editor for IEEE Transactions on Robotics and conference organizer for ICRA/IROS, he advances robotic learning methodologies. Received best presentation award at ECCV 2022 for spacecraft pose estimation research.
