Picture taken in Sagrada Familia

I am a CS PhD student at the Empirical Inference department of Max Planck Institute for Intelligent Systems and ETH Zurich, supervised by Prof. Bernhard Schölkopf and Dr. Dieter Büchler. I work on the intersection of robotics, 3D vision, and machine learning. My current research focuses on two main areas: generative modeling for motion generation, and in-context robot learning.

I obtained my master's degree in Electrical Engineering and Information Technology at ETH Zurich. I also spent time at Microsoft Mixed Reality & AI Lab in Zurich, Tencent AI Lab and Tencent Robotics X Lab.

Outside of academics, my hobbies include music, photography, doing various kinds of sports, and playing StarCraft II and League of Legends.

Yi Zhao*, Le Chen*, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler
2nd Workshop on Dexterous Manipulation: Design, Perception and Control, (RSS), 2024
Conference on Robot Learning (CoRL), 2024
(*: equal contribution)
arxiv  •   website  •   dataset  •   robopianist code  •   colab demo  •   video

Simon Guist, Jan Schneider, Hao Ma, Le Chen, Vincent Berenz, Julian Martus, Heiko Ott, Felix Grüninger, Michael Muehlebach, Jonathan Fiene, Bernhard Schölkopf, Dieter Büchler
Robotics: Science and Systems (RSS), 2024
arxiv  •   website  •   motion dataset  •   hardware  •   software

Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, Ulrich Neumann
Preprint, 2024.
arxiv  •   website  •   code

Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel Haeufle, Bernhard Schölkopf, Dieter Büchler
International Conference on Learning Representations (ICLR), 2024
arxiv  •   website  •   code

Weirong Chen, Le Chen, Rui Wang, Marc Pollefeys
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
arxiv  •   code  •   website  •   video  •   poster

Le Chen, Weirong Chen, Rui Wang, Marc Pollefeys
IEEE International Conference on Robotics and Automation (ICRA), 2024
arxiv  •   supp video

Soomin Lee*, Le Chen*, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu
IEEE Robotics and Automation Letters (RA-L), 2022
IEEE International Conference on Robotics and Automation (ICRA), 2023
(*: equal contribution)
arxiv  •   website  •   supp video  •   bibtex

Yunke Ao*, Le Chen*, Florian Tschopp, Michel Breyer, Andrei Cramariuc, Roland Siegwart
IEEE International Conference on Robotics and Automation (ICRA), 2022
(*: equal contribution)
arxiv  •   poster  •   supp video  •   code  •   bibtex

Le Chen*, Yunke Ao*, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena
Conference on Robot Learning (CoRL), 2020
(*: equal contribution)
arxiv  •   spotlight talk  •   supp video  •   code  •   bibtex

Le Chen, Ying Feng, Rui Li, Xinkai Chen, Hui Jiang,
Complexity, vol. 2019.
paper   •   bibtex

Le Chen, Yunke Ao, Kaiyue Shen, Zheyu Ye,
Course Project in Deep Learning, 2020
report   •   code