AUTOSHIP joined the Workshop on Machine Learning in Control (LEAC), virtually held on May 18th, 2021. The event gathered leading experts to present cutting edge results within the data-driven design of control systems, with a focus on:
• Reinforcement learning for CPS.
• Machine learning techniques for CPS.
• Modelling of human behavior and sociotechnical systems.
• Safety verification and computation.
In this occasion, University of Strathclyde presented AUTOSHIP with the paper “Automatically generating collision scenarios for testing ship collision avoidance system using sampling techniques“. The research output presents a way for automatically generating ship encounter situations in connection to the testing of collision avoidance system.