Title
An Empirical Study of Assembly Error Detection Using an Augmented Vision System
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.
Year
DOI
Venue
2009
10.1007/978-3-642-02771-0_66
HCI (13)
Keywords
Field
DocType
ergonomic human-machine interface,integrative production technology,augmented vision system,error detection,high-wage countries,assembly object,assembly error detection,empirical study,human operator,numerical control unit,rwth aachen university,robotized production unit,vision system,augmented reality,numerical control,human machine interface
Human operator,Machine vision,Numerical control,Computer science,Error detection and correction,Augmented reality,Human–computer interaction,Excellence,Empirical research
Conference
Volume
ISSN
Citations 
5622
0302-9743
1
PageRank 
References 
Authors
0.46
1
5
Name
Order
Citations
PageRank
Barbara Odenthal1205.34
Marcel Ph. Mayer2174.74
Wolfgang Kabuß341.58
Bernhard Kausch4183.97
Christopher M. Schlick511331.00