Robotics, Control, Reinforcement Learning, Imitation Learning, Locomotion
Michael Drolet joined the Intelligent Autonomous Systems lab on August 1, 2023, as a Ph.D. student. He is interested in utilizing methods from reinforcement learning and imitation learning to advance the field of robot locomotion. Before starting his Ph.D., Michael received his Bachelor's in Computer Science and Master's in Math/Statistics at Arizona State University. Michael Drolet wrote his Master's Thesis, "Probabilistic Methods for Imitation Learning in Social HRI", under the supervision of Dr. Heni Ben Amor while at the Interactive Robotics Lab.
- , 2023 IEEE International Conference on Robotics and Automation (ICRA), IEEE.
- , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
- , Master's Thesis.
- , 2020 IEEE International Conference on Robotics and Automation (ICRA), IEEE.