Research Engineer
After studying mechatronics and automation engineering at the University of Bologna, Nicola Franco joined Fraunhofer IKS in June 2020. His research focuses on the cognitive control of intelligent components from a software architecture perspective.
by Nicola Franco
Neural networks are not robust. The development of reliable predictors requires systematic methods to both assess their quality and to gain confidence in their correctness. Quantum computing can provide assistance here.
Cyber-physical systems (CPS) integrate software algorithms and physical structures. To exceed the simple embedded systems of today, advances in CPS require several properties, particularly adaptability, resilience, and safety. Lean management of CPS with resilient architectures satisfies these requirements by combining data distribution with service-oriented structures. A practical use case: a moving robot in a warehouse.
