About me
I am a PhD student in the Advanced Interactive Technologies lab at ETH Zurich under the supervision of Prof. Otmar Hilliges. I received my BSc (2016) and MSc (2018) in Electrical Engineering and Information Technology from ETH Zürich with a focus on robotics, machine learning and control.
Research Interests
My research focuses on modeling human interactions with the physical world. Specifically, I'm researching how natural and physically plausible behavior can be integrated into generative motion models by using physics simulations and deep reinforcement learning. Furthermore, I'm investigating how these models can be leveraged in application domains such as human-robot Interactions, AR/VR, and others.
You can also find me on Twitter, Linkedin, and Google scholar.
Publications
Zhengyi Luo*,
Jinkun Cao*,
Sammy Christen,
Alexander Winkler,
Kris Kitani,
Weipeng Xu
* Equal contribution
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
Bonan Liu*,
Handi Yin*,
Manuel Kaufmann,
Jinhao He,
Sammy Christen,
Jie Song,
Pan Hui
* Equal contribution
SIGGRAPH Asia 2024 (TOG), 2024
Sammy Christen,
Shreyas Hampali,
Fadime Sener,
Edoardo Remelli,
Tomas Hodan,
Eric Sauser,
Shugao Ma,
Bugra Tekin
Conference paper at SIGGRAPH Asia, 2024
European Conference on Computer Vision (ECCV), 2024
Proc. ACM Human-Computer Interaction 8, EICS, 2024
International Conference on Robotics and Automation 2024 (ICRA), 2024
Hui Zhang*,
Sammy Christen*,
Zicong Fan,
Luocheng Zheng,
Jemin Hwangbo,
Jie Song,
Otmar Hilliges
* Equal contribution
International Conference on 3D Vision 2024 (3DV), 2024
Accepted as Spotlight Presentation
International Conference on 3D Vision 2024 (3DV), 2024
Accepted as Spotlight Presentation
Sammy Christen,
Wei Yang,
Claudia Pérez-D'Arpino,
Otmar Hilliges,
Dieter Fox,
Yu-Wei Chao
Computer Vision and Pattern Recognition (CVPR), 2023
Accepted as Highlight (Top 2.5%)
International Conference on 3D Vision (3DV), 2022
Marco Bagatella,
Sammy Christen,
Otmar Hilliges
Transactions on Machine Learning Research, 2022
Computer Vision and Pattern Recognition (CVPR), 2022
IEEE Robotics and Automation Letters (Volume: 6, Issue: 2), 2021
IEEE Robotics and Automation Letters (Volume: 6, Issue: 2), 2021
Accepted as Oral Presentation at the Deep RL Workshop at NeurIPS
ACM/IEEE International Conference on Human-Robot Interaction, 2021
IEEE Robotics and Automation Letters (Volume: 5, Issue: 2), 2020
International Conference on Robotics and Automation (ICRA), 2019
Academic Activities
Reviewing
- 2024
- CVPR, EAI@CVPR, ECCV, ICRA, IROS, SIGGRAPH, SIGGRAPH Asia, T-RO
- 2023
- CVPR, ICCV, ICRA, IROS, RA-L, SIGGRAPH, 3DV, Comput Methods Biomech and Biomed Eng
- 2022
- CVPR, ICRA, IROS, RA-L, ECCV (outstanding reviewer), SIGGRAPH Asia, Computers & Graphics
- 2021
- NeurIPS, RA-L, IROS
- 2020
- CHI, RA-L, ICRA
Other
-
- Invited talk at the Generative Modeling meets HRI workshop at RSS
-
- Invited talk at the dexterous manipulation workshop at RSS
-
- I am serving as Social Media & Website Chair at 3DV2025
-
- Invited talk at Tsinghua University
-
- Started internship at Meta Reality Labs
-
- Internship at NVIDIA
-
- Part of the organizing committee of the Hands@ECCV workshop
-
- Honored as outstanding reviewer at ECCV
-
- Session Chair at ICRA 2021 for Learning-Based Motion Planning
Student Theses
- 2023
-
Nina Schmid Semester Project
Adversarial Skill Embeddings for Controlling Physics-Based Characters with Variable Body Shapes - 2022
-
Luocheng Zheng Master Thesis
Two Hand Manipulation of Articulated Objects -
Jona Braun Master Thesis
Physically Plausible Dynamic Full-Body Grasp Synthesis for Human-Object Interactions -
Lan Feng Semester Project
Controllable Human Grasp Generation -
Andrea Ziani Master Thesis
TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning -
Caroline Sauget Master Thesis
Reinforcement Learning for Incentivizing Sustainable Investments - 2021
-
Marco Bagatella Master Thesis
SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning - 2020
-
Joel Neuner-Jehle Bachelor Thesis
Guiding Reinforcement Learning with Deep Saliency Prediction -
Nikola Vulin Master Thesis
Learning to Control Contact Forces in Robotic Manipulation - 2019
-
Lukas Jendele Master Thesis
Learning Functionally Decomposed Hierarchies for Continuous Navigation Tasks
Teaching
- Machine Perception — Spring 2023
- Advanced Topics in Human-Centric Computer Vision — Autumn 2022
- Machine Perception — Spring 2022
- Advanced Topics in Human-Centric Computer Vision — Autumn 2021
- Informatik I (D-BAUG) — Autumn 2021
- Machine Perception — Spring 2021
- Informatik I (D-BAUG) — Autumn 2020
- Machine Perception — Spring 2020
- Informatik I (D-MATH, IFMP) — Autumn 2019
- Machine Perception — Spring 2019
Workshop Papers
Embodied AI Workshop at Computer Vision and Pattern Recognition (EAI), 2023
Alexis Block,
Hasti Seifi,
Sammy Christen,
Bernard Javot,
Katherine Kuchenbecker
EuroHaptics Demo, 2022
Best Demo Award
Reinforcement Learning for Humans, Computer, and Interaction, 2021
Sammy Christen,
Martin Wermelinger,
Dario Bellicoso,
Marco Hutter
Semester Project, 2017