members:chenh

Hanzhi Chen

PhD StudentTechnical University of Munich

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

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 am always happy to work with cool folks with passion and talents. You can check my previous research works to see if there is a match between us. If you want to work with me, shoot me an email with your up-to-date transcript, résumé, and a brief comment about what research topic really interests you!

Please refrain from inquiring me about supervision for external thesis by non-academic institutions or bachelor thesis, thank you!

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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
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]