M. Sc. Thomas Rudolf

  • FZI Forschungszentrum Informatik
    Embedded Systems and Sensors Engineering (ESS)
    Haid-und-Neu Str. 10-14
    76131 Karlsruhe

Curriculum Vitae

Thomas Rudolf studied electrical engineering and information technology at the Karlsruhe Institut of Technology (KIT) and Chalmers University of Technology in Gothenburg, Sweden. During his studies in the specialized fields of information and automation he focused on control engineering, signal processing and system optimization. He concluded his studies with his master thesis about the design of a robust position control and a differential flatness-based velocity control for a four-wheel drive, four-wheel steering electrical vehicle („Entwurf einer robusten Positionsregelung mit kaskadierter flachheitsbasierter Geschwindigkeitsregelung eines radselektiv angetriebenen Elektrofahrzeugs“) at the Institute for Control Systems (IRS).

Since January 2018, he has been employed as a research scientist at the FZI Research Center for Information Technology in the division of Embedded Systems and Sensors Engineering (ESS).



Open Theses
Title Type


ReACT: Reinforcement Learning for Controller Parametrization Using B-Spline Geometries
Rudolf, T.; Flögel, D.; Schürmann, T.; Süß, S.; Schwab, S.; Hohmann, S.
2023. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 3385–3391, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC53992.2023.10394648
The Potential of Data-Driven Engineering Models: An Analysis Across Domains in the Automotive Development Process
Knödler, J.; Könen, C.; Muhl, P.; Rudolf, T.; Sax, E.; Reuss, H.-C.; Eckstein, L.; Hohmann, S.
2023. SAE 2023 World Congress Experience (WCX 2023), Detroit, USA, MI, April 18-20, 2023, 19 S., SAE International. doi:10.4271/2023-01-0087
Data-Driven Calibration of Thermal Management Control Systems of an Electric Sports Car = Datengetriebene Kalibration für Thermomanagement-Regelsysteme eines elektrischen Sportwagens
Muhl, P.; Rudolf, T.; Eckstein, L.; Hohmann, S.
2022. Proceedings of the 31st Aachen Colloquium Sustainable Mobility 2022, Aachener Kolloquium Fahrzeug- und Motorentechnik GbR
Fuzzy Action-Masked Reinforcement Learning Behavior Planning for Highly Automated Driving
Rudolf, T.; Gao, M.; Schurmann, T.; Schwab, S.; Hohmann, S.
2022. 2022 8th International Conference on Control, Automation and Robotics (ICCAR): 8–10 April 2022, Xiamen, China, 264–270, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCAR55106.2022.9782671
Data-Driven Automotive Development: Federated Reinforcement Learning for Calibration and Control
Rudolf, T.; Schürmann, T.; Skull, M.; Schwab, S.; Hohmann, S.
2022. 22. Internationales Stuttgarter Symposium : Automobil- und Motorentechnik. Bd.: 1. Hrsg.: M. Bargende, 369–384, Springer Fachmedien Wiesbaden. doi:10.1007/978-3-658-37009-1_26
Robust Parameter Estimation and Tracking through Lyapunov-based Reinforcement Learning
Rudolf, T.; Ransiek, J.; Schwab, S.; Hohmann, S.
2022. IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IECON49645.2022.9968893
A Data-driven Energy Estimation based on the Mixture of Experts Method for Battery Electric Vehicles
Petersen, P.; Rudolf, T.; Sax, E.
2022. 8th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2022) : Proceedings. Ed.: J. Ploeg. Vol. 1, 384–390, SciTePress. doi:10.5220/0011081000003191
Toward Holistic Energy Management Strategies for Fuel Cell Hybrid Electric Vehicles in Heavy-Duty Applications
Rudolf, T.; Schurmann, T.; Schwab, S.; Hohmann, S.
2021. Proceedings of the IEEE, 109 (6), 1094–1114. doi:10.1109/JPROC.2021.3055136
Automated Anomaly Detection in Data Streams on Engine Test Benches Using Multi-Scale Convolutional Recurrent Encoder-Decoder
Juhl, J.; Rudolf, T.; Lukas, K.; Schwab, S.; Dummer, G.; Hohmann, S.; Stork, W.
2021. Proceedings of the International Vienna Motor Symposium 2021. Hrsg.: B. Geringer, Österreichischer Verein für Kraftfahrzeugtechnik (ÖVK)
Robust Position and Velocity Tracking Control of a Four-wheel Drive and Four-wheel Steered Electric Vehicle
Schwartz, M.; Rudolf, T.; Hohmann, S.
2020. 2020 6th International Conference on Control, Automation and Robotics (ICCAR) : April 20-23, 2020, Singapore, 415–422, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCAR49639.2020.9108078
Regenerative Braking Strategies for Electric Heavy Duty Trucks
Rudolf, T.; Bischof, F.; Schwab, S.; Hohmann, S.
2019, July. 6th SINO-EU Doctoral School for Sustainability Engineering (SESE 2019), Lisbon, Portugal, July 22–24, 2019