Monitoring and Digitising Human-Workpiece Interactions during a Manual Manufacturing Assembly Operation Using KinectTM

Article Preview

Abstract:

Automation boosts competitiveness of manufacturing companies and is pervasive in modern industry. However, skilled manual labour is still used in a variety of complex tasks and is currently irreplaceable. A solution may lie in understanding the interactions between a human worker and the workpiece during a manufacturing task and digitising these interactions to potentially enable automation of the task. In this paper, a method to observe, record and digitise human-workpiece interactions using the Microsoft KinectTM is described. A manual threaded-fit assembly of a two-component pen housing is chosen. Essential information about the manual assembly is extracted from the recorded interaction data. The developed mechanism being markerless and unobtrusive is helpful in recording human-workpiece interactions in a factory without affecting normal operations.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

609-612

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] CHEN, H., FUHLBRIGGE, T. and LI, X., 2009. A review of CAD-based robot path planning for spray painting. Industrial Robot, 36(1), pp.45-50.

DOI: 10.1108/01439910910924666

Google Scholar

[2] GEORGILAS, I.P. and TOURASSIS, V.D., 2008. An intuitive framework to automate feature-rich manual tasks and manufacturing processes. 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008, pp.1244-1248.

DOI: 10.1109/ieem.2008.4738069

Google Scholar

[3] PAOLI, A. and RAZIONALE, A.V., 2012. Large yacht hull measurement by integrating optical scanning with mechanical tracking-based methodologies. Robotics and Computer-Integrated Manufacturing, 28(5), pp.592-601.

DOI: 10.1016/j.rcim.2012.02.010

Google Scholar

[4] PUNNETT, L. and WEGMAN, D.H., 2004. Work-related musculoskeletal disorders: The epidemiologic evidence and the debate. Journal of Electromyography and Kinesiology, 14(1), pp.13-23.

DOI: 10.1016/j.jelekin.2003.09.015

Google Scholar

[5] SÄFSTEN, K., WINROTH, M. and STAHRE, J., 2007. The content and process of automation strategies. International Journal of Production Economics, 110(1-2), pp.25-38.

DOI: 10.1016/j.ijpe.2007.02.027

Google Scholar

[6] SUAREZ, J. and MURPHY, R.R., 2012. Hand gesture recognition with depth images: A review, Proceedings - IEEE International Workshop on Robot and Human Interactive Communication 2012, pp.411-417.

DOI: 10.1109/roman.2012.6343787

Google Scholar

[7] TSAI, Y.C., LI, J.H., LEE, J.N. and JYWE, W.Y., 2012. Development and implementation of automatic scraping mechanism. Advanced Science Letters, 8, pp.211-215.

DOI: 10.1166/asl.2012.2384

Google Scholar