Rudolf Reiter


Short Bio

Rudolf Reiter graduated 2016 with a Master’s degree in electrical engineering with a focus on control systems from the Graz University of Technology in Austria. During that time he did internships at Bernecker & Rainer (ABB) and an exchange semester at the University of Utah, USA. Afterwards, he joined an international company for measurement devices (Anton Paar GmbH) where he worked as a specialist for control systems and signal processing. In 2018 he started working as a researcher for autonomous driving at a vehicle research company. There he also joined the Autonomous Racing Graz team, which competes at real-world autonomous racing events and where he still is an active member.

Current Position

Rudolf Reiter is part of the ELO-X Marie Curie Innovative Training Network (ITN), which was funded by the European Commission Horizon 2020 program. With 15 doctoral researchers working at 6 research universities and 5 international companies from 5 European countries, and further 4 partner organizations in China, Japan and the US, ELO-X will accelerate research and development in embedded learning and optimization, delivering new methods and applications. Within ELO-X, Rudolf Reiter is working on topics related to decision making and trajectory planning for autonomous vehicles.

Research Interests

  • Nonlinear optimization and model-predictive control
  • Motion planning and control for autonomous systems
  • Interplay of reinforcement learning and optimal control
  • Learning-based control