Studies of electrical engineering and information technology at the Karlsruhe Institute of Technology (KIT). Bachelor thesis at the Forschungszentrum Informatik (FZI), developing a driver assistant function for optimizing the energy efficiency of the traffic flow (2016). Internships at TRUMPF Inc. in Farmington, CT (USA) on optimizing the control of laser cutting machines and at BOSCH SEA Pte. Ltd. in Singapore contributing to the core development of an Ubuntu Linux based operating system. Master thesis at the Institute of Control Systems (IRS), developing an intention based cooperative control concept for human-robot-interaction with a variable level of automation (2019).

Member of the scientific staff and head of the Functional Safety Control research group at the IRS since April 2024

Computation of reachable sets for motion planning of highly automated vehicles

Highly automated vehicles have the potential to transform our mobility: They can contribute to increased safety and efficiency in road traffic and increase the comfort of individual mobility. However, these and other advantages only come into play if the safety of such vehicles can be guaranteed - because the integrity of people must never be exposed to an increased risk.

As part of my research, I deal with methods for calculating reachable sets that a vehicle can reach by guarantee within a predicted time horizon. The focus here is on over-actuated vehicles both, under ideal conditions and in abnormal situations, for example, after actuators have partially failed or on slippery roads.

My goal is to communicate the determined reachable sets in a suitable form to the motion planning of a vehicle so that they can be explicitly taken into account there. Thereby, it can be guaranteed that all planned vehicle motions can be implemented - especially ways out of potentially critical situations.

Such a concept could contribute to increasing the safety of highly automated vehicles and to quickening their entry into our everyday lives.