Sensors and their data are the basis of most recent trends in the field of Cyber-Physical Systems (CPS) and the Internet of Things (IoT): artificial intelligence algorithms use sensor data, e.g. generated by process-embedded sensors, for industrial applications such as predictive maintenance or optimization. Assistance systems and robotics rely on sensors to interact with changing environments and sensors systems become more and more a platform for edge computing and for semantically annotated smart data. This special issue addresses the methodological and technical buildings blocks of these trends. These trends have several key aspects which are addressed in this special issue. One key element are new sensor architectures. This includes new measurement principles such as new vision systems, algorithms for sensor data processing and information fusion, the development towards edge-computing and also new ideas for a fast and automated integration of sensors into complex CPS. A second key topic is the usage of systems of sensors for an integrated interaction between machines and humans and new robotic applications. Furthermore, the issue welcomes methods for data semantics and the usage of these semantics for a faster CPS ramp-up and reconfiguration. Finally, the issue will discuss machine learning algorithms suited for CPS, the usage of learned models for optimization and typical artificial intelligence applications in the industrial domain.
Prof. Dr. Oliver Niggemann
Prof. Dr. Michael Heizmann