An Empirical Study of Assembly Error Detection Using an Augmented Vision System

  • Authors:

  • Barbara Odenthal;Marcel Ph. Mayer;Wolfgang Kabuß;Bernhard Kausch;Christopher M. Schlick

  • Affiliations:

  • Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062;Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062;Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062;Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062;Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062

  • Venue:
  • VMR '09 Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009
  • Year:
  • 2009

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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.