- Published paper titled 'Optimal Transport In Robotics'
- Reviewer for conferences and journals including IROS, ICRA, R:SS, RLC, CoRL, NeurIPS, ICML, ICLR, AAAI, IEEE RA-L, IEEE T-RO, Neurocomputing, etc.
Research Experience
- During his PhD, focused on scaling robotics learning and planning methods through batch optimization, particularly for long-horizon, high-dimensional state-space, number of plans, and number of agents
- Worked on forceful imitation learning during an internship at Bosch AI
- Also worked on task and motion planning for human-robot collaboration settings during his master's degree
Education
- PhD: Joined the Intelligent Autonomous Systems lab at TU Darmstadt on November 1st, 2021, advisor not explicitly mentioned
- Master's Degree: During his master's research, he was advised by Dr. Meng Guo and Dr. Jim Mainprice
Background
- Research Interests: Scaling robot learning & planning, Dynamics generative models, Optimal Transport theory and gradient flows
- Professional Field: Intelligent Autonomous Systems
- Brief Introduction: Now an Assistant Professor at VinUniversity and Director of Foundation AI at VinRobotics. He remains affiliated with TU Darmstadt as a Visiting Professor.
Miscellany
- Teaching assistant experience includes courses such as Reinforcement Learning (Summer Semester 2022), Statistical Machine Learning (Summer Semester 2023 to Winter Semester 2024/2025) among others