Jonas Günster

Joined

May 2024

Names

Jonas Günster (Preferred)

Emails

****@stud.tu-darmstadt.de (Confirmed)

,

****@gmx.de (Confirmed)

Personal Links

Career & Education History

MS student

Computer Science, Technische Universität Darmstadt (tu-darmstadt.de)

2022 – 2025

Undergrad student

Computer Science, Technische Universität Darmstadt (tu-darmstadt.de)

2018 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Towards Safe Robot Foundation Models Using Inductive Biases
Maximilian Tölle, Theo Gruner, Daniel Palenicek, Tim Schneider, Jonas Günster, Joe Watson, Davide Tateo, Puze Liu, Jan Peters
- SAFE-ROL Poster
- Readers: Everyone
Towards Safe Robot Foundation Models Using Inductive Biases
Maximilian Tölle, Theo Gruner, Daniel Palenicek, Tim Schneider, Jonas Günster, Joe Watson, Davide Tateo, Puze Liu, Jan Peters
- ICRA-Safe-VLM-WS-2025 Spotlight
- Readers: Everyone
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
Jonas Günster, Puze Liu, Jan Peters, Davide Tateo
- CoRL 2024
- Readers: Everyone
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
Piotr Kicki, Davide Tateo, Puze Liu, Jonas Günster, Jan Peters, Krzysztof Walas
- CoRL 2024
- Readers: Everyone
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
Puze Liu, Jonas Günster, Niklas Funk, Simon Gröger, Dong Chen, Haitham Bou Ammar, Julius Jankowski, Ante Marić, Sylvain Calinon, Andrej Orsula, Miguel Olivares-Mendez, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann, Amarildo Likmeta, Amirhossein Zhalehmehrabi, Thomas Bonenfant, Marcello Restelli, Davide Tateo, Ziyuan Liu et al. (1 additional authors not shown)
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone

Co-Authors

View all 27 co-authors