Direkt zum Inhalt springen
Machine Learning for Robotics
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

Menu

Links

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  


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

  • Object-Centric Perception (to understand objects' geometry, concepts, affordance, and more)
  • Neural Scene Representations (to facilitate object-centric perception)
  • Few-Shot Imitation Learning (to connect embodiments' learning through object-centric representations)

🤓 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!


Export as PDF, XML, TEX or BIB

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]
Powered by bibtexbrowser
Export as PDF, XML, TEX or BIB

Rechte Seite

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