Publications

Chenhao Li, Andreas Krause, Marco Hutter (2025). Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics. In arXiv Outstanding Paper Award in EWM Workshop.

Kehan Wen, Chenhao Li, Junzhe He, Marco Hutter (2025). Constrained Style Learning from Imperfect Demonstrations under Task Optimality. In arXiv.

Zewei Zhang, Chenhao Li, Takahiro Miki, Marco Hutter (2025). Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility. In arXiv.

Chenhao Li, Andreas Krause, Marco Hutter (2025). Offline Robotic World Model: Learning Robotic Policies without a Physics Simulator. In arXiv.

Kaixi Bao, Chenhao Li, Yarden As, Andreas Krause, Marco Hutter (2025). Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning. In arXiv.

Ryo Watanabe, Chenhao Li, Marco Hutter (2025). DFM: Deep Fourier Mimic for Expressive Dance Motion Learning. In ICRA.

Benjamin Hoffman, Jin Cheng, Chenhao Li, Stelian Coros (2025). Learning More With Less: Sample Efficient Dynamics Learning and Model-Based RL for Loco-Manipulation. In arXiv.

Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius (2024). Learning Diverse Skills for Local Navigation under Multi-constraint Optimality. In ICRA.

Chenhao Li, Elijah Stanger-Jones, Steve Heim, Sangbae Kim (2023). FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning. In ICLR Spotlight.

Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius (2022). Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions. In ICRA.