Michael Drolet

Research Interests
Robotics, Control, Reinforcement Learning, Imitation Learning, Locomotion
Affiliation
TU Darmstadt, Intelligent Autonomous Systems, Computer Science Department
Contact
michael.drolet@tu-darmstadt.de
Room E326, Building S2|02, TU Darmstadt, FB-Informatik, FG-IAS, Hochschulstr. 10, 64289 Darmstadt
+49-6151-16-21817
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.
Recent Publications
- Drolet, M.; Stepputtis, S.; Kailas, S.; Jain, A.; Schaal, S.; Peters, J.; Ben Amor, H. (2024). A Comparison of Imitation Learning Algorithms for Bimanual Manipulation, IEEE Robotics and Automation Letters (RA-L).
- Drolet, M.; Stepputtis, S.; Kailas, S.; Jain, A.; Schaal, S.; Peters, J.; Ben Amor, H. (2024). A Comparison of Imitation Learning Algorithms for Bimanual Manipulation, CoRL 2024 Workshop on Whole-body Control and Bimanual Manipulation.
- Drolet, M.; Campbell, J.; Ben Amor, H . (2023). Learning and Blending Robot Hugging Behaviors in Time and Space, 2023 IEEE International Conference on Robotics and Automation (ICRA), IEEE.
- Weigend, F.; Sonawani, S.; Drolet, M.; Ben Amor, H. (2023). Anytime, Anywhere: Human Arm Pose from Smartwatch Data for Ubiquitous Robot Control and Teleoperation, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
- Drolet, M. (2023). Probabilistic Methods for Imitation Learning in Social HRI, Master's Thesis.
- Drolet, M.; Yumbla, E. Q.; Hobbs, B.; Artemiadis, P. (2020). On the effects of visual anticipation of floor compliance changes on human gait: Towards model-based robot-assisted rehabilitation, 2020 IEEE International Conference on Robotics and Automation (ICRA), IEEE.