News

Jul 2026 Gave an invited talk at the RSS Workshop on Trustworthy Embodied Foundation Models. At the Diffusion for Robot Learning Workshop, we received the best paper award! Impressions.
Jun 2026 Gave an invited talk at the Robot Learning Lab at the University of Freiburg. Impressions.
Apr 2026 Our paper “CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion” has been accepted to RA-L. Website.
Apr 2026 Started as a visiting researcher at the Learning and Adaptive Systems Group at ETH Zurich, hosted by Prof. Andreas Krause.
Mar 2026 Our paper “CRISP - Compliant ROS2 Controllers for Learning-Based Manipulation Policies and Teleoperation” has been accepted to RA-P. Website.
Dec 2025 Presented FIPER at NeurIPS in San Diego, California! Check out my 8 takeaways on embodied AI & robotics research.
Nov 2025 Participated as a tutor at the 1st RIG Bootcamp on Foundational Behavior Models to advance collaborative VLA research in Germany! Impressions.
Sep 2025 “Failure Prediction at Runtime for Generative Robot Policies” has been accepted at NeurIPS 2025!
Jun 2025 Presented DPCC at L4DC at the University of Michigan, Ann Arbor. Impressions.
Mar 2025 Our paper “Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards” has been accepted for RA-L. PDF.
Feb 2025 Our paper “Diffusion Predictive Control with Constraints (DPCC)” has been accepted at L4DC 2025. PDF.
Jan 2025 Our paper “Flying through Moving Gates without Full State Estimation” has been accepted at ICRA 2025. PDF.
Sep 2024 We are organizing a workshop “Mastering Robot Manipulation in a World of Abundant Data” at CoRL 2024 in Munich. Website.
Jul 2024 Presented our paper at ACC in Toronto, Canada. Video.
May 2024 Presented our RA-L paper and the workshop paper “Safe Offline Reinforcement Learning using Trajectory-level Diffusion Models” at ICRA in Yokohama, Japan. Workshop paper.
Jan 2024 Our paper “Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems” has been accepted at ACC 2024. PDF.
Dec 2023 I have joined the Learning Systems and Robotics Lab at TUM as a PhD student, advised by Prof. Angela Schoellig.
Oct 2023 Our paper “Vision-Based Uncertainty-Aware Motion Planning Based on Probabilistic Semantic Segmentation” has been published in RA-L. PDF.