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!
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.
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2023
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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.
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Conference and Workshop Papers
2026
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GOPLA: Generalizable Object Placement Learning via Synthetic Augmentation of Human Arrangement(Y Zhong, H Chen, S Schaefer, A Zhang and S Leutenegger), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026.
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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.
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2025
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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.
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2024
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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.
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2023
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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.
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