Munich, Bavaria, Germany
I am a PhD student at the Learning Systems and Robotics Lab at TUM, advised by Prof. Angela Schoellig. My research aims to enable robots to safely execute complex tasks in uncertain, dynamic environments. For this, I am combining tools from machine learning, robotics, mathematics, and control theory. Specific research topics I am working on include uncertainty quantification, safety guarantees, and continual learning for diffusion policies and vision-language-action models. I am always open to research collaborations, so feel free to reach out if you are interested in working together! If you are a student interested in conducting a research project with me, please send me an email with your research interests, CV, and transcript.
Visiting PhD student at the Learning and Adaptive Systems Group led by Prof. Andreas Krause. Working on VLA post-training.
I am conducting research on generative robot policies, including vision-language-action models (VLAs). My research interests include the theoretical properties of diffusion- and flow-based policies, uncertainty quantification, safety and continual learning. Advisor: Prof. Angela Schoellig
Selected as one of 6 tutors from across Germany to push research projects on VLAs and foundation models for robotics with 15 fellow PhD students. Resulted in two ongoing collaborations, which we are currently preparing for submission.
I investigated the roles of control frequency and data for the stability and closed-loop performance of uncertain robotic systems. The work has been published at the American Control Conference 2024. Advisors: Lukas Brunke, Dr. SiQi Zhou, Prof. Angela Schoellig