Vehicle System Dynamics and Control
Vehicle System Dynamics and Control
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  • 26.02.2026
    General

    Bridging the Gap Between Simulation and Reinforcement Learning: Introducing train_fmu_gym

    The train_fmu_gym toolchain represents a significant advancement in applying reinforcement learning to multi-physical systems by bridging existing simulation models with modern Deep Reinforcement Learning (DRL) frameworks. This framework, as shown…
  • 10.02.2026
    AI For Mobility
    + 1

    SAFER²: Advancing Reliability through Sensor and AI Fusion

    The DLR project SAFER² (Sensor and AI Fusion for Enhanced PeRformance and Reliability) focused on integrating sensor data with advanced models to increase the safety and efficiency of complex technical…
  • 22.08.2025
    AI For Mobility

    AFM – A Universal Test Vehicle for a Wide Variety of…

    The AI For Mobility (AFM) concept has been designed as a universal platform for testing of vehicle dynamics control methods. A classification of relevant application fields can be illustrated using…

Research

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  • AI For Mobility
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    • General
    Feb 26th 2026

    Bridging the Gap Between Simulation and Reinforcement Learning: Introducing train_fmu_gym
    AI For Mobility
    + 1
    Feb 10th 2026

    SAFER²: Advancing Reliability through Sensor and AI Fusion
    AI For Mobility
    Aug 22nd 2025

    AFM – A Universal Test Vehicle for a Wide Variety of…
    General
    Jan 10th 2025

    Hybrid Simulation Models: Physics-enhanced Machine Learning by means of Neural Ordinary…
    AI For Mobility
    Dec 15th 2023

    KIFAHR: AI based Vertical Dynamics Control
    AI For Mobility
    Nov 30th 2023

    AICloud: Development of an AI-based Virtual Sensor using a Cloud Computing…
    General
    Aug 9th 2023

    AI on Embedded Systems
    General
    Jul 10th 2023

    eFMI: Functional Mock-up Interface for Embedded Systems

    Publications
    25.11.2025

    train_fmu_gym: A Functional Mock-up Unit-based Framework to Train Reinforcement Learning Agents…

    Authors: Ultsch, Johannes and Ahmic, Kenan and Brembeck, Jonathan
    IEEE Access, 13
    18.11.2025

    Predictive Safeguarding and Performance Monitoring for Learning-based Vehicle Motion Controllers

    Authors: Ahmic, Kenan and Ultsch, Johannes and Brembeck, Jonathan and…
    28th IEEE International Conference on Intelligent Transportation Systems (ITSC),…
    08.09.2025

    Quasi-Periodic Feedforward Control based on Inverse Model tabled FFT

    Authors: Bünte, Tilman and Tobolar, Jakub
    16th International Modelica & FMI Conference, Lucerne, Switzerland
    08.09.2025

    Optimization with FMI and CasADi: Analysis in Industrial Applications

    Authors: Pfeiffer, Andreas and Winter, Christoph and Jarmolowitz, Fabian and…
    16th International Modelica & FMI Conference, Industrial User Presentations,…

    About Us

    Find out more about DLR Vehicle System Dynamics and Control

    Automated driving and electro-mobility are two of the key technologies for the future of road transportation. Automated driving has the potential to decrease road accidents due to human errors and to improve traffic flow, energy…
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