Max Siebenborn joined the PEARL group at TU Darmstadt as a PhD Student in April 2025, supervised by Prof. Georgia Chalvatzaki. As part of the SIREN project, his research focuses on geometry-aware and graph-based representation learning techniques for robotic perception and control.
Max holds a bachelor’s and master’s degree in Computational Engineering, both from the Technical University of Darmstadt. During his studies, he has worked on robot foundation models, representation learning, and humanoid loco-manipulation.
My key research interests are bimanual mobile manipulation, equivariant robot learning, and geometric structure in robotics. Feel free to reach out for thesis and project opportunities in these areas!
Key References
Siebenborn, M., Ordoñez Apraez, D., Lueth, S., Turrisi, G., Pontil, M., Semini, C., and Chalvatzaki, G.
Morphologically Equivariant Flow Matching for Bimanual Mobile Manipulation
in ICRA 2026 Workshop on Geometry in the Age of Data-Driven Robotics (Spotlight)
Paper
Siebenborn, M., Belousov, B., Huang, J., and Peters, J.
How Crucial is Transformer in Decision Transformer?
in NeurIPS 2022 Foundation Models for Decision Making Workshop
Paper Code Talk
Contact
> Email: max.siebenborn<at>tu-darmstadt.de
> Google Scholar
> LinkedIn
> Post:
TU Darmstadt, FG PEARL,
Landwehrstraße 50a, 64293 Darmstadt
Office. Room 15, Building S4|23