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Ontology-Based Digital Twin Framework for Smart Factories

Snehal Walunj, Michael Sintek, Parsha Pahlevannejad, Christiane Plociennik, Martin Ruskowski

Year
2023
Citations
6

Abstract

In modern smart factories we have multiple entities that interact with one another, such as worker-assistance system, robot collaboration and their corresponding software modules. To fa- cilitate seamless cooperation between those subsystems, it is beneficial that they all have access to one coherent environment model. Hence, we propose an ontology-based Digital Twin that al- lows semantic representation of all important parts of such a scenario. It allows uniform access for different application components such as intention recognition and robotic action planning. Furthermore, it provides information tailored to the needs of those different components, e.g., via different zoom levels and affordances.

Keywords

AffordanceOntologyComputer scienceRepresentation (politics)Human–computer interactionRobotKnowledge representation and reasoningSoftwareZoomSoftware engineering

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