Process oriented ontology based robotic task planning and modelling

Abstract

This thesis describes the research contribution I have made for my PhD study. The main goal of my research is to resolve the challenges that SEMs are facing when implementing robotic solutions in agile manufacturing. The main challenges identified are to gain the rich robotic expertise required to understand the high complexity of existing robotic systems, and to acquire the comprehensive knowledge behind robotic systems, as well as reducing the high programming costs for implementation. My main contributions are to ease these challenges by creating an intuitive modelling language to plan and control robotic processes with the support of ontology. This enables nonrobotic experts to flexibly program and reprogram robots as well as acquire relevant knowledge to achieve mass-customization.