Sensitivity-based approaches for an efficient design of learning-type controllers of a flexible high-speed rack feeder system. - Andreas Rauh; Ole Krägenbring; Lukas Pröhl; Harald Aschemann (CCA, 2014)

Grey Wolf Optimisation of an Operating Strategy for Energy Storage Systems in Electrically Driven Railway Vehicles. - Lukas Pröhl; Harald Aschemann (ECC, 2019)

Energy Optimal Trajectory Planning for Electrically Driven Railway Vehicles with Particle Swarm optimization. - Lukas Pröhl; Harald Aschemann (ICCA, 2019)

Multimodal optimization for the Trajectory Planning of Railway Vehicles. - Lukas Pröhl; Harald Aschemann (CEC, 2020)

Energy-Optimal Control for a Heating Circulator. - Lukas Pröhl; Harald Aschemann; Kristina Kowalski; Frank-Hendrik Wurm (IECON, 2020)

Trajectory Planning and Sliding-Mode Velocity Control for an Under-Actuated Hovercraft Vehicle. - Lukas Pröhl; Harald Aschemann (IECON, 2021)

Investigation of Camera-Based Loop-Closing Techniques for EKF-SLAM. - Lukas Pröhl; Ricus Husmann; Vinzenz Birr; Harald Aschemann (ICSTCC, 2022)

Histogram-Based Corner Detection and Description for 2D Lidar Systems. - Lukas Pröhl; Hans Henning Erle; Harald Aschemann (IECON, 2022)