Johannes Ultsch

According to our database, Johannes Ultsch authored at least 6 papers between 2020 and 2025.

Collaborative distances:

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

2025

train_fmu_gym: A Functional Mock-up Unit-Based Framework to Train Reinforcement Learning Agents for Multi-Physical Systems.

Johannes Ultsch, Kenan Ahmic, Jonathan Brembeck

IEEE Access, 2025

Predictive Safeguarding and Performance Monitoring for Learning-Based Vehicle Motion Controllers.

Kenan Ahmic, Johannes Ultsch, Jonathan Brembeck, Darius Burschka

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

2024

Multi-Agent Reinforcement Learning for Cooperative Vehicle Motion Control.

Kenan Ahmic, Johannes Ultsch, Jonathan Brembeck, Darius Burschka

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023

Closing the Sim-to-Real Gap with Physics-Enhanced Neural ODEs.

Tobias Kamp, Johannes Ultsch, Jonathan Brembeck

Proceedings of the 20th International Conference on Informatics in Control, 2023

2020

Recent Research on Automotive Control at DLR Institute of System Dynamics and Control - An Overview.

Jonathan Brembeck, Johann Bals, Daniel Baumgartner, Tobias Bellmann, Caspar Bieri, Tilman Bünte, Jonas Mirwald, Andreas Pfeiffer, Ricardo Pinto de Castro, Martin Otter, Julian Ruggaber, Christina Schreppel, Jakub Tobolár, Johannes Ultsch, Christoph Winter

Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020

Reinforcement Learning-based Path Following Control for a Vehicle with Variable Delay in the Drivetrain.

Johannes Ultsch, Jonas Mirwald, Jonathan Brembeck, Ricardo Pinto de Castro

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020