Authors:
Sebastian Bader
1
and
Mario Aehnelt
2
Affiliations:
1
University of Rostock, Germany
;
2
Fraunhofer IGD, Germany
Keyword(s):
Assembly Tracking, Smart Factory, Assistance, Task Trees, Hidden Markov Models.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bayesian Networks
;
Enterprise Information Systems
;
Industrial Applications of AI
;
Knowledge Representation and Reasoning
;
Soft Computing
;
Symbolic Systems
;
Uncertainty in AI
Abstract:
Tracking assembly processes is a necessary prerequisite to provide assistance in smart factories. In this paper, we show how to track the construction of complex components. For this we employ formal task models as background knowledge and simple sensors like RFIDs. The background knowledge is converted into a probabilistic model that actually tracks the process. As a result, we are able to provide assistance in smart factories. We discuss the performance of the approach, as well as potential applications.