Hanna Krasowski joined the Cyber Physical Systems Group as a PhD candidate under the supervision of Prof. Dr.-Ing. Matthias Althoff in 2020. She is a member of the DFG Research Training Group on Continuous Verification of Cyber-Physical Systems (ConVeY). Currently, she is visiting the research group of Prof. Aaron Ames at the California Institute of Technology. Hanna received her master's degree in Robotics, Cognition, Intelligence from Technical University of Munich in 2020 and her bachelor's degree in Mechanical and Process Engineering from Technical University of Darmstadt in 2017.
Her research interests include safe reinforcement learning, motion planning and formal methods.
Offered Thesis Topics
I am always looking for self-motivated students to solve interesting problems arising in my research areas. If you are interested in my research and want to write a thesis in this field, simply send me a mail briefly describing your motivation.
CommonOcean is a collection of composable benchmarks for motion planning of autonomous vessels and provides researchers with means of evaluating and comparing their motion planners. A benchmark consists of a scenario with a planning problem, a vessel model including vessel parameters, and a cost function composing a unique id. Along with benchmarks, we provide tools for motion planning.
Xiao Wang; Hanna Krasowski; Matthias Althoff: CommonRoad-RL: A Configurable Reinforcement Learning Environment for Motion Planning of Autonomous Vehicles. IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021 mehr…BibTeX
Krasowski, Hanna; Wang, Xiao; Althoff, Matthias: Safe Reinforcement Learning for Autonomous Lane Changing Using Set-Based Prediction. 2020 IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020 mehr…BibTeX