About
Axel Brunnbauer is a PreDoc Researcher at the Vienna University of Technology (TU Wien), affiliated with the Institute of Computer Engineering (E191-01) under the Faculty of Informatics. His research focuses on Reinforcement Learning, Autonomous Systems, and Cyber-Physical Systems with applications in robotics and control theory. Brunnbauer holds a BSc and Dipl.-Ing. in Informatics from TU Wien. He is currently on leave from active duties but continues academic contributions. His work bridges formal methods with practical robotics applications, emphasizing safe autonomy and multi-agent systems.
Key research interests include model-based reinforcement learning, zero-shot transfer in autonomous racing, and scenario-based curriculum learning for autonomous driving. He has published at IEEE ICRA and developed frameworks for STL-based reward shaping in robotics.
Teaching activities include the course 'Operating Systems' (2024W) at TU Wien. His technical expertise spans formal verification, distributed control systems, and sensor data processing for embedded systems.
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