Knowledge-driven enrichment of cyber-physical systems for industrial applications using the KbR modelling approach

Abstract

This paper addresses design and engineering of models that connect cyber-physical systems and conceptualizations of industrial applications (IA). For this purpose, the hybrid modelling method SeRoIn is constructed using metamodel-based implementation (MMbI). Details are presented on specific building blocks of the modelling method, following the Knowledge-based Robotics (KbR) approach. Focusing on Knowledge-driven Enrichment (KdE) to integrate models, two experiments are conducted in the robotics section (OMiRob) of the Open Models Laboratory (OMiLAB), which involves concepts for hybrid automata, processes and ontologies. Thereby, intelligent behaviour is formalized, coining the notion of “smart models”. The experiments prove the capability of KdE and suggest to establish focused research in the area of KbR.