Leverage Asset Administration Shells to Support Artificial Intelligence Planning

Alexis T. Bernhard, Benjamin Blumhofer, Martin Ruskowski, Achim Wagner, Andreas Luxenburger, Daniel Porta

Abstract: Modern Digital Twin standards and technologies, designed to enable smart factories in line with the Industry 4.0 vision, have not yet addressed all the challenges associated with contemporary digital twins. This paper shows how to leverage the Asset Administration Shell as an Industry 4.0 compliant Digital Twin technology to provide all necessary data for Artificial Intelligence Planning, represented via the Planning Domain Definition Language. For this purpose, a model for preconditions and effects of planning actions is defined. This model is applied to three different use cases showing different problems of fetching data from different partially standardized shell templates including three defined actions of transport, assembly, and storage.