Dr. J. Andrew (Drew) Bagnell is an Assistant Research Professor at Carnegie Mellon University’s Robotics Institute and National Robotics Engineering Center (NREC) and is cross-appointed with the Machine Learning Department. His research focuses on machine learning for automated decision making, machine perception, adaptive control, optimization and planning under uncertainty. Some of Dr. Bagnell's key contributions include developing the first reinforcement learning algorithm for helicopter control, developing inverse optimal control methods for imitation learning in both field and legged robotics, and developing machine learning techniques for automated 2D/3D perception and control on programs ranging from commercial driver assistance to autonomous mining.
Dr. Bagnell received a B.Sc. in Electrical Engineering with highest honors from the University of Florida in 1998. He joined the Robotics Institute at Carnegie Mellon University in 2000 as a National Science Foundation Graduate