I am Chong Zhang, a master student in Robotics at ETH Zürich. My tutor is Prof. Dr. R. Siegwart @ Autonomous System Lab (D-MAVT). I am currently with Robotic Systems Lab (RSL) for my research project.
My primary research goal is to apply Machine Learning for Robotics. I identify two major research topics that I am interested in: data-efficient and robust reinforcement learning for legged locomotion, and data generation for data-driven control. These topics can both facilitate the applications of intelligent robots in the real world.
I am open to academic collaborations and please drop me an email if you are interested in collaborating with me.
[CV] [E-MAIL: see my CV] [Google Scholar]
- Joined ETH RSL
- Generated a dataset to build a terrain-robustness benchmark for legged locomotion: https://github.com/zita-ch/terrain_benchmark
Honor: Distinguished Graduate
- Major:
Measurement, Control Technology and Instruments (2018 - 2022) - Minor:
Data Science and Technology - Location:
Tsinghua University, Beijing, China. - Self Positioning: Multitasking
A researcher with rich experience and self-motivation;
A student social worker with leadership and communication skills;
An undergraduate with outstanding academic performance.
- Accessibility-Based Clustering for Efficient Learning of Locomotion Skills.
2022 IEEE International Conference on Robotics and Automation (ICRA).
[Oral Presentation] - Custom Sine Waves Are Enough for Imitation Learning of Bipedal Gaits with Different Styles.
2022 IEEE International Conference on Mechatronics and Automation (ICMA).
Finalists of Toshio Fukuda Best Paper Award in Mechatroincs.
[Oral Presentation] - Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype via Terrain Authoring and Active Learning.
Technical report. - Adaptive Mimic: Deep Reinforcement Learning of Parameterized Bipedal Walking from Infeasible References.
Technical report. - Modeling of Coupling Effects in Neural Networks for Ship Motion Prediction.
Technical report.
- Reviewer for 2022 ACC, 2022 IROS, 2023 ICRA, RA-Letters.