Scholar
Kay Pompetzki (fmr Hansel)
Google Scholar ID: Pd9Pzo4AAAAJ
PhD student at IAS, Technische Universität Darmstadt
Citations & Impact
Citations
313
H-index
8
i10-index
5
Publications
16
Co-authors
33
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Reviewer for several international conferences such as IEEE IROS, IEEE ICRA, CoRL, RSS, IEEE RA-L, and various Robotics & ML workshops.
Research Experience
- During his academic research, he had the opportunity to visit the Intelligent Robotics and Biomechatronics Laboratory led by Prof. Hasegawa as a visiting scholar from May 2023 to July 2023. The lab is part of the Department of Micro-Nano Mechanical Science and Engineering at Nagoya University and is renowned for its fundamental and applied studies on mechatronics technologies for advanced human assistance systems. In November 2024, Kay joined the German delegation for the Junior Expert Exchange (JEX) program, engaging in high-level discussions on robotics and AI policy with Japanese ministries and academic institutions.
Education
- He completed his Bachelor's degree in Applied Mathematics at the RheinMain University of Applied Sciences and his Master's degree in Autonomous Systems at TU Darmstadt. His thesis, 'Probabilistic Dynamic Mode Primitives,' was supervised by Svenja Stark and Hany Abdulsamad.
Background
- Research interests include Robot Learning, Machine Learning, Reinforcement Learning, Robotics, Optimal Control, Telerobotics, and Human-Robot Interaction. He joined the Intelligent Autonomous Systems (IAS) Lab as a Ph.D. student in May 2021, focusing on experimenting and researching with robots and exploring new concepts in artificial intelligence.
Miscellany
- Lecturer at Matsuo-Iwasawa Lab @UTokyo, teaching Physical AI (SS 2025). Also served as a Teaching Assistant in multiple courses including Probabilistic Methods for CS (WS 2024/25), Robot Learning Integrated Project 1 & 2 (SS 2024), Robot Learning (WS 2022/2023, SS 2023), and Computational Engineering and Robotics (SS 2022, WS 2022/2023).
