
Hojin Lee
Applied and Theoretical Aspects of Robot Intelligence (ATARI) Lab
Chair of AI Planning in Dynamic Environments
Munich Institute of Robotics and Machine Intelligence
Technical University of Munich
Room: 2941.01.113R
Contact: hojin.lee(at)tum.de
Personal website :https://amilearning.github.io/
Work with us
If you are interested and strongly motivated in various topics of robotics and find my background might be a helpful complement to your thesis or research project, I am looking forward to a potential collaboration.
About
Hojin Lee is a postdoctoral researcher with the ATARI Lab and the Environmental Robotics Group at the Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich.
His research interests include uncertainty quantification, adaptive and robust learning-based systems, active learning for perception and planning, representation learning in unstructured environments, hierarchical reinforcement learning, and human-in-the-loop reinforcement learning.He received his Ph.D. in Mechanical Engineering from the Ulsan National Institute of Science and Technology (UNIST), Republic of Korea, where he worked on uncertainty-aware planning and control for autonomous systems.
His previous research includes distributed optimal control and estimation for multi-agent systems, agent-to-agent interaction prediction and intent inference, off-road navigation, and continual learning for autonomous systems.