| Aug 28, 2025 | After an incredible journey completing my PhD, I’m starting my next chapter as a research scientist at the RAI Institute. I am excited to join the amazing team and contribute to the mission of creating the next generations of intelligent robots. Looking forward to the exciting challenges and collaborations ahead. |
| Aug 18, 2025 | I have successfully defended my dissertation “Animal Motion Imitation For Adaptive and Lifelike Control of Legged Robots” at ETH Zurich. A huge thanks to my supervisors Stelian Coros, Marco Hutter, committee members, amazing collaborators, and peers at Computational Robotics Lab who made this possible. It has been an amazing journey with so many unforgettable memories and valuable lessons. I am truly grateful to everyone who has shown me tremendous support. |
| Jul 22, 2025 | “RAMBO: RL-augmented Model-based Whole-body Control for Loco-manipulation” has been accepted to IEEE Robotics and Automation Letters (RA-L). Check out the project website to learn more about the paper. |
| Jul 14, 2025 | Our paper, “Spatio-Temporal Motion Retargeting for Quadruped Robots”, co-authored with Taerim Yoon, Seungmin Kim, Minsung Ahn, Prof. Stelian Coros, and Prof. Sungjoon Choi has been accepted to IEEE Transactions on Robotics (T-RO)! Check out the project website to learn more about the paper. |
| 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. |
| 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. |
| Jun 30, 2022 | I am happy to announce my paper, "Animal Motions on Legged Robots Using Nonlinear Model Predictive Control" has been accepted to 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). |
| Jul 09, 2021 | I am happy to announce my two papers have been accepted to 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021): |
| Mar 07, 2020 | I am happy to announce that I am starting my doctoral study in computer science at ETH Zurich under the supervision of Prof. Stelian Coros. |
| Dec 20, 2019 | I have joined the Computational Robotics Lab at ETH Zurich as an research assistant, where I will be developing physics-based simulation techniques for robotics applications and control methods for quadrupedal robots. |
| Sep 08, 2019 | I have completed my master’s in mechanical engineering at ETH Zürich, graduating with distinction. My thesis was titled End-to-End Collision Avoidance from Depth Input with Memory-based Deep Reinforcement Learning |
| Jul 25, 2019 | RaiSim has been released! |
| Jun 02, 2018 | I will be starting my internship at NVIDIA Switzerland as a “Deep Learning Intern” from June to December 2018. |
| Sep 19, 2016 | Starting MSc at ETH Zürich |