- BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning, NeurIPS 2025
- Variational Distillation of Diffusion Policies into Mixture of Experts, NeurIPS 2024
- MP3: Movement Primitive-Based (Re-)Planning Policy, CoRL Workshop LEAP, 2023
Research Experience
Conducting PhD research at the Intuitive Robots Lab (IRL) focusing on developing scalable robot learning methods that combine imitation learning and reinforcement learning.
Education
PhD: Karlsruhe Institute of Technology (KIT), Germany, Supervisor: Rudolf Lioutikov; Master's: Karlsruhe Institute of Technology (KIT), Autonomous Learning Robots Lab (ALR), Supervisor: Gerhard Neumann; Bachelor's: Harbin Institute of Technology, China.
Background
Research Interests: Developing efficient and scalable methods for robot learning. Professional Field: PhD student in the Intuitive Robots Lab (IRL) at Karlsruhe Institute of Technology (KIT), Germany. Focus on machine learning algorithms to enable robots for everyday life use, including imitation learning and reinforcement learning.
Miscellany
Contact: Email / Google Scholar / Github / LinkedIn