Model-driven latency analysis of distributed skills in automation networks with robots in the AI.Factory

Abstract In future factories flexible processes are dynamically deployed to heterogeneous automation technology and robotic systems. Distributed system design is a significant challenge relying on a trial-and-error approach for software-hardware integration. This paper presents a model-based documentation of the latency of distributed skills in automation networks, analyzing their suitability for a given use case. The approach considers latencies caused by the execution of control code. The difference in skill definitions in robotics and automation complicates the integration of robots into the automation systems. This work focuses on synchronizing these definitions to enable a holistic Input/Output latency analysis in heterogeneous systems. As proof of concept, the approach is used to model and analyze a use case, in which a production plant and a robotic arm are cooperating.