Manufacturing & Materials, Robotics & AI, Management & Digitalisation
Designing the cyber-physical world of tomorrow
In our National Centre of Competence in Research, theoretical and data driven foundations are developed to enable the increasingly ubiquitous automation of cyber-physical systems to be efficient and dependable.
Since the dawn of the industrial revolution, systems and processes have increasingly been automated. Production lines in factories, computing or long distance communication rely less and less on humans. In the not too distant future, automation will be ubiquitous. From self-driving cars regulating traffic to electrical grids controlling their users’ demand and the complete automation of manufacturing.
But how can these systems be designed efficiently, safely and reliably? The key is control. Efficient algorithms that steer how elements in different systems create, predict and respond to changing conditions. A wind turbine, for example, that ramps down when electricity demand sinks. Vehicles that answer local spikes in transportation demand or production steps that are adapted based on collected data. Control is the basis that enables all of these and many other systems to work as we want them to. In our National Center of Competence in Research (NCCR), theoretical and data driven foundations are developed to enable the increasingly ubiquitous automation of cyber-physical systems to not only be efficient but also dependable. Thanks to the different area of expertise among our research groups, these foundations can be adapted to and tested in many different settings.