R&D Seminar Series: Certifiably safe and robust design of robotic and learning systems
Safety and robustness in the context of cyber-physical systems (CPS) have always been critical, particularly when there is close interaction with human users. Over recent years however, certifying such properties for machine learning algorithms has also risen in importance, given the increasing use and close integration of such algorithms in CPS for tasks such as perception, prediction, and even decision making.
