SurferLab is built around a core theme which concerns embedding artificial intelligence based processing capabilities in complex mobile systems (trains, cars, planes, trucks…) to implement and optimize various control, monitoring and diagnosis (health monitoring) functions.
The aim is to make these systems more intelligent, more autonomous, and capable of adapting to the unexpected. It is assumed that these systems are immersed in a fleet interacting with a control or maintenance centre and a human operator. This is a cyber-physical type (CPS) approach and concerns a priori all modes of transport.