Jonas Günster

According to our database, Jonas Günster authored at least 5 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

CoRR, May, 2025

Towards Safe Robot Foundation Models.

Maximilian Tölle, Theo Gruner, Daniel Palenicek, Jonas Günster, Puze Liu, Joe Watson, Davide Tateo, Jan Peters

CoRR, March, 2025

2024

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 Maric, Sylvain Calinon, Andrej Orsula, Miguel S. Olivares-Méndez, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann, Amarildo Likmeta, Amirhossein Zhalehmehrabi, Thomas Bonenfant, Marcello Restelli, Davide Tateo, Ziyuan Liu, Jan R. Peters

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning.

Jonas Günster, Puze Liu, Jan Peters, Davide Tateo

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024