Publications: 'Grounding Language with Visual Affordances over Unstructured Data', 'Visual Language Maps for Robot Navigation', etc.; Awards: Nominated (and received) several Best Paper Awards at ICRA and RA-L; Named a 2025 Microsoft Future Leader in Robotics and AI.
Research Experience
Interned at NVIDIA AI with Dieter Fox; Lead at Microsoft, focusing on robot learning and foundation models projects.
Education
PhD in Computer Science, 2023, University of Freiburg, supervised by Prof. Dr. Wolfram Burgard; Postdoc in Computer Science, 2025, UC Berkeley.
Background
Research Interests: Robot Learning, Robot Foundation Models, Language Grounding. Biography: A researcher at Microsoft working on robot learning and internet-scale foundation models. Previously, did a PostDoc at UC Berkeley with Prof. Sergey Levine.
Miscellany
Gave a talk about his research at Stanford University; Participated in multiple international conferences such as IROS and presented at workshops.