Autonomous Sailing with Sim-to-Real Reinforcement Learning

Facing the critical challenge of reducing greenhouse gas (GHG) emissions in the maritime industry, this thesis explores the potential of smart control systems using Reinforcement Learning (RL) for autonomous sailing. Traditional controls for sailing fall short in navigating the complex, dynamic conditions of maritime environments. RL has shown...

Control of suction distributions on Boundary layer suction systems for automotive wind tunnels

Wind tunnels are used to study airflows around objects like cars, airplanes and ice-skaters. This is done, simulating the real world, by blowing an airflow over a fixed body. In the real situation an object moves through the air, while in a wind tunnel it is the air that is moving. So a wind tunnel needs to generate an airflow. In this airflow,...