Augmented Reality for Human-Based Assembly: Using Product and Process Semantics

Abstract Augmented Reality (AR) can help close the gap between product development and manufacturing operation, mainly because of its ability to reuse and reproduce digital information and knowledge, while supporting assembly operators. This paper presents a semantic-based AR system used for the integration of the existing information and knowledge, available in CAD/PDM systems, for real-time support of the human operator. This study is supported by an algorithm used for the generation of the AR instructions based on the product and process semantics. The results are demonstrated in an automotive use-case.