Abstract
Within the Cluster of Excellence "Integrative Production Technology for High-Wage Countries" of RWTH Aachen University a numerical control unit and its ergonomic human-machine interface are developed for a robotized production unit. In order to cope with novel systems, the human operator will have to meet new challenges regarding the work requirements. Therefore, a first prototype of an augmented vision system to assist the human operator is developed dealing with the task of error detection and identification in an assembly object. Laboratory tests have been performed to find a preferable solution to display information. © 2009 Springer Berlin Heidelberg.
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Odenthal, B., Mayer, M. P., Kabuß, W., Kausch, B., & Schlick, C. M. (2009). An empirical study of assembly error detection using an augmented vision system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5622 LNCS, pp. 596–604). https://doi.org/10.1007/978-3-642-02771-0_66
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