TR

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).

Research

Teaching

Open Theses
Title Type

Publications


2022
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
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
2021
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)
2020
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
2019
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