Publication
Leverage Asset Administration Shells to Support Artificial Intelligence Planning
Alexis T. Bernhard; Benjamin Blumhofer; Andreas Luxenburger; Daniel Porta; Martin Ruskowski; Achim Wagner
In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2024), September 10-13, Padua, Italy, IEEE, 2024.
Abstract
Modern Digital Twin standards and technologies as means for smart factories that conform to the Industry 4.0 vision do not yet provide solutions to all challenges towards modern 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.