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Machine Learning for Robotics
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX

Professorship for Machine Learning for Robotics

Smart Robotics Lab

Boltzmannstrasse 3
85748 Garching info@srl.cit.tum.de

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Hanzhi Chen

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Mail: Hanzhi.Chen@tum.de

Personal Website | G. Scholar | LinkedIn | GitHub

😎 Brief Bio

I am a PhD student in the Smart Robotics Lab of Technical University of Munich with Prof. Stefan Leutenegger. Previously, I received my M.Sc. degree in Robotics, Cognition, Intelligence with high distinction from Technical University of Munich.

🤖 Research Interest

  • Always-on Robot Learning (to connect skill learning from different embodiments)
  • Object-Centric Perception (to understand objects' geometry, concepts, affordance, and more)
  • Neural Scene Representations (to facilitate object-centric perception)

🤓 Student Projects

I will not be the main supervisor for any student projects in 2026!

If you still want to work with us on robot learning, check out our project page at ETH. Students with a strong hardware background (e.g., getting this lerobot stack running) are highly preferred!

🧑‍🎓 Supervised Students

Student Thesis Next Stop
Yao Learning Object Placement with Semantic & Geometric Awareness Ph.D. Student @ HKU
Anran 3D Affordance Transfer for Zero-Shot Robotic Manipulation Ph.D. Student @ ETHz & TUM


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Journal Articles
2025
[]FrontierNet: Learning Visual Cues to Explore (B Sun, H Chen, S Leutenegger, C Cadena, M Pollefeys and H Blum), In IEEE Robotics and Automation Letters (RA-L), IEEE, 2025.  [bibtex]
2023
[]Anthropomorphic Grasping with Neural Object Shape Completion (H Chen, D Hidalgo-Carvajal, GC. Bettelani, J Jung, M Zavaglia, L Busse, A Naceri, S Haddadin and S Leutenegger), In IEEE Robotics and Automation Letters (RA-L), IEEE, 2023.  [bibtex]
Conference and Workshop Papers
2026
[]Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation (A Zhang, H Chen, Y Burkhardt, Y Zhong, J Betz, H Oleynikova and S Leutenegger), In IEEE International Conference on Robotics and Automation (ICRA), 2026.  [bibtex]
2025
[]VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation (H Chen, B Sun, A Zhang, M Pollefeys and S Leutenegger), In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.  [bibtex]
2024
[]FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object (H Chen, B Xu and S Leutenegger), In IEEE International Conference on Robotics and Automation (ICRA), 2024.  [bibtex]
2023
[]Texpose: Neural texture learning for self-supervised 6d object pose estimation (H Chen, F Manhardt, N Navab and B Busam), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.  [bibtex]
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Informatik IX

Professorship for Machine Learning for Robotics

Smart Robotics Lab

Boltzmannstrasse 3
85748 Garching info@srl.cit.tum.de

Follow us on:
SRL  CVG   DVL