DONGHO KANG
Legged robotics, character animation, optimal control, and reinforcement learning
Wasserwerkstrasse 12
8092 Zurich
Switzerland
I am a doctoral student in computer science based in Zurich, Switzerland 🇨đź‡. From 2019, I am a scientific assistant of the Computational Robotics Lab, ETH Zurich, under the supervision of Prof. Stelian Coros.
The goal of my research is to create legged robots that exhibit natural and animal-like behaviors. Thus, my research interests are broad ranging from legged locomotion control to computational methods for motion and behavior synthesys.
Apart from my professional bio, I am originally from Seoul, South Korea 🇰🇷. Describing myself, I am a video game fan and a classical music lover.
news
Oct 07, 2024 | Fatemeh Zargarbashi will be presenting her recent paper, “Robot Keyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards,”, at the upcoming 2024 Conference on Robot Learning (CoRL 2024). Fatehmeh’s presentation is scheduled for Poster Session 3 on November 7th, from 16:00 to 17:30. If you are attending the conference, please stop by her poster to learn more. |
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Apr 18, 2024 | Introducing my recent collaboration work, “Spatio-Temporal Motion Retargeting for Quadruped Robots”, co-authored with Taerim Yoon, Seungmin Kim, Minsung Ahn, Prof. Stelian Coros, and Prof. Sungjoon Choi. Visit the project website to learn more. |
Jan 29, 2024 | My recent collaborative work titled “Deep Compliant Control for Legged Robots,” co-authored with Adrian Hartmann, Fatemeh Zargarbashi, Miguel Angel Zamora Mora, and Prof. Stelian Coros, has been accepted to 2024 IEEE International Conference on Robotics and Automation (ICRA 2024.) |
Oct 16, 2023 | My recent collaborative work titled “Tuning Legged Locomotion Controllers via Safe Bayesian Optimization,” co-authored with Daniel Widmer, Bhavya Sukhija, and Jonas Hübotter, under the guidance of Prof. Andreas Krause and Prof. Stelian Coros, has been accepted to the 7th Annual Conference on Robot Learning (CoRL 2023.) Visit the project website to learn more. |
Aug 23, 2023 | We present our latest work, “RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotion”. The paper is published to the IEEE Robotics and Automation Letters (RA-L) journal. To learn more about the paper, please visit the project website. |