Sammy Christen

Sammy Christen

PhD student
Advanced Interactive Technologies Lab, ETH Zürich

E-Mail
sammy.christen@inf.ethz.ch
Address
Stampfenbachstrasse 48, 8092 Zürich, Switzerland
Room
ETH Zurich, Department of Computer Science, STD, G 28



Biography

I am a PhD student in the Advanced Interactive Technologies lab at ETH Zurich under the supervision of Professor 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 interests lie at the intersection of deep reinforcement learning and human motion and behavior modeling. My current work focuses on integrating natural and physically plausible behavior into motion models by using physics simulations and deep reinforcement learning.

If you are interested in Semester/Master project in our group, you can check our available projects. If you have your own topic related with my research, you are welcome to contact me.

You can also find me on Twitter, Linkedin, and Google scholar.




Publications

Teaser-Picture

TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning

AuthorsA. Ziani*, Z. Fan*, M. Kocabas, S. Christen, O. Hilliges
In ProceedingsInternational Conference on 3D Vision (3DV), 2022
* These two authors contributed equally to this work.

Teaser-Picture

SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning

AuthorsM. Bagatella, S. Christen, O. Hilliges
In ProceedingsTransactions on Machine Learning Research, 2022

Teaser-Picture

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions


Learning Functionally Decomposed Hierarchies for Continuous Control Tasks With Path Planning

AuthorsS. Christen*, L. Jendele*, E. Aksan, O. Hilliges
In IEEE Robotics and Automation Letters (Volume: 6, Issue: 2), 2021
* These two authors contributed equally to this work.

Accepted as Oral Presentation at the Deep RL Workshop at NeurIPS

Teaser-Picture

Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation

AuthorsN. Vulin, S. Christen, S. Stevsic, O. Hilliges
In IEEE Robotics and Automation Letters (Volume: 6, Issue: 2), April 2021

The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic Perception

AuthorsA. Block, S. Christen, R. Gassert, O. Hilliges, K. J. Kuchenbecker
In ProceedingsACM/IEEE International Conference on Human-Robot Interaction, 2021

Teaser-Picture

Learning to Assemble: Estimating 6D Poses for Robotic Object-Object Manipulation

AuthorsS. Stevsic, S. Christen, O. Hilliges
In IEEE Robotics and Automation Letters (Volume: 5, Issue: 2), April 2020

Teaser-Picture

Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction


Other

Teaser-Picture

HuggieBot: A Human-Sized Haptic Interface

AuthorsA. Block, H. Seifi, S. Christen, B. Javot, K. J. Kuchenbecker
In EuroHaptics Demo, 2022

Best Demo Award

Teaser-Picture

Generalizing User Models through Hybrid Hierarchical Control


Teaser-Picture

Contour Based Grasp Synthesis of Unknown Objects with a Humanoid Hand

AuthorsS. Christen, M. Wermelinger, D. Bellicoso, M. Hutter
In Semester Project, 2017

Academic Activities

Reviewing

2022
CVPR, ICRA, IROS, RA-L, ECCV (outstanding reviewer), SIGGRAPH Asia, Computers & Graphics
2021
NeurIPS, RA-L, IROS
2020
CHI, RA-L, ICRA

Student Theses

2022
MA Jona Braun Physically Plausible Dynamic Full-Body Grasp Synthesis for Human-Object Interactions
SA Lan Feng Controllable Human Grasp Generation
MA Andrea Ziani TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning
MA Caroline Sauget Reinforcement Learning for Incentivizing Sustainable Investments
2021
MA Marco Bagatella SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning
2020
BA Joel Neuner-Jehle Guiding Reinforcement Learning with Deep Saliency Prediction
MA Nikola Vulin Learning to Control Contact Forces in Robotic Manipulation
2019
MA Lukas Jendele Learning Functionally Decomposed Hierarchies for Continuous Navigation Tasks

Other

2022
Honored as outstanding reviewer at ECCV
2021
Session Chair at ICRA 2021 for Learning-Based Motion Planning

Teaching