News
- [Feb'26] Excited to announce that our work has been accepted to ICLR 2026: Sample-efficient and Scalable Exploration in Continuous-Time RL
- [Nov'25] New preprint on arXiv: Learning Soft Robotic Dynamics with Active Exploration
- [Jul'25] Check out our newest workshop paper at EXAIT@ICML: Scalable and Efficient Exploration via Intrinsic Rewards in Continuous-time Dynamical Systems
- [Apr'25] I was able to present some of my research interests in the plenary session at the Meet the Talent event of the ETH Foundation. Check out the recording here!
About me
© ETH Foundation / Valeriano Di Domenico
Hi, I'm Klemens. I am a masters student in Robotics at D-MAVT at ETH Zurich. Recently, I completed my Master's thesis under the supervision of Prof. Andreas Krause, Bhavya Sukhja and Chenhao Li at the Learning and Adaptive Systems Group (LAS).
I was previously a research assistant at LAS and at the Robotic Systems Lab. I was also a teaching assistant for the course Probabilistic Artificial Intelligence, for Engineering Materials and Production I at the IWF; and previously for Control Systems II at the IDSC and a student coach for the SpaceHopper project at RSL.
I am most interested in Advanced Control Methods (Optimal Control, Model Predictive Control) as well as Machine Learning and Artificial Intelligence applications in Robotics, like Model-based RL or exploration in RL. Along the way, I have been fortunate to receive an ETH Excellence Scholarship, an Outstanding Teaching Assistant Award from D-MAVT, and recognition for academic performance during my exchange at Northwestern University.
Besides my studies, I am an elected member of parliament for Zug. Read more about it on this page.
Links
- LinkedIn: /in/klemensiten
- Google Scholar
- CV: Link
- Study Materials for my WuF II exercise class
- Our revised summary for the Model Predictive Control class is online!
- My revised cheat sheet for the Models, Algorithms, and Data class is online
Contact
- E-Mail: kiten[ät]ethz.ch
- Office: OAT Y 19
