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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

Office: 03.09.041
Mail: Hanzhi.Chen@tum.de

Personal Website | Google 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

My research interest lies in understanding 3D scenes from an object-centric perspective. By exploring the information disclosed by objects, ranging from geometry to high-level concepts, my objective is to utilize all sorts of knowledge to enhance real-world applications, particularly for human-robot interaction and spatial reasoning.

🤓 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! This paper collection about neural fields for robotics might be helpful for you as a starting point to get inspired :)

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
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, IEEE, volume , 2023.  [bibtex]
Conference and Workshop Papers
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]
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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