Manufacturing knowledge for industrial robot systems: Review and synthesis of model architecture

Abstract

This paper reviews the state of the art of models in robotic manufacturing applications. Moreover, a model architecture is proposed that is adequate for capturing knowledge of manufacturing processes in small and medium sized enterprises. The proposed architecture improves existing approaches by introducing a technology model that allows modeling of specific knowledge of manufacturing processes. This enables automatic generation of robot programs and supports reusability of manufacturing knowledge in industrial production scenarios. The usage of the presented model architecture is shown for a robotic welding application.