This tutorial aims to provide an introduction to the challenges and potential solution routes for the assurance of safety-related robotic and autonomous systems based on the Sense, Understand, Decide, Act (SUDA) characterisation of autonomy. The workshop will introduce the background technologies for machine learning, such as neural nets. As well as providing practical hands-on experience of performing analysis on a small case study, the tutorial will also introduce current work of the Assuring Autonomy International Programme (based in York, UK) and some of the work of partner demonstrator projects.
