Hostname: page-component-848d4c4894-sjtt6 Total loading time: 0 Render date: 2024-06-16T11:58:16.309Z Has data issue: false hasContentIssue false

VIRTOOL – Virtual Reality for Machine – Tool Training

Published online by Cambridge University Press:  29 April 2004

Aritz Ustarroz
Affiliation:
CEIT (Centro de Estudios e Investigaciones Técnicas de Gipuzkoa), Lardizabal 15, 20018 San Sebastián, Spain
Alberto Lozano
Affiliation:
CEIT (Centro de Estudios e Investigaciones Técnicas de Gipuzkoa), Lardizabal 15, 20018 San Sebastián, Spain
Luis Matey
Affiliation:
CEIT (Centro de Estudios e Investigaciones Técnicas de Gipuzkoa), Lardizabal 15, 20018 San Sebastián, Spain University of Navarra, Lardizabal 13, 20018 San Sebastián, Spain
Jens Siemon
Affiliation:
TUD (Dresden University of Technology), Münchner Platz 1, 0062 Dresden, Germany
Diana Klockmann
Affiliation:
TUD (Dresden University of Technology), Münchner Platz 1, 0062 Dresden, Germany
Miren Iosune Berasategi
Affiliation:
IMH (Instituto de Máquina Herramienta), San Roke 1, 20870 Elgoibar, Spain
Get access

Abstract

VIRTOOL is an application that is part of the European Union supported project “Virtual Manipulation to Simulate Machine-Tool Processes” (VIRTOOL, CRAFT-1999-70292). The application is being developed by a consortium of two industrial enterprises (Alecop, IMH) and three partners in research and higher education (CEIT, TUD, ACM) from four European countries. The objective of this project is to design and develop a computer-supported learning environment for machine-tool processes by using interactive 3D graphics and virtual reality techniques. An integral part of this software will be an easy to use construction tool for the development of new 3D simulation models of machine-tools with the supporting learning material, which is based on a general instructional design model.

Type
Research Article
Copyright
© AFM, EDP Sciences, 2004

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

R.A. Richards, Principle Hierarchy Based Intelligent Tutoring System for Common Cockpit Helicopter Training, ITS 2002 Proceedings, 2002, pp. 473–483
M. Aka, C. Frasson, ASIMIL: Overview of a Distance Flight-Training System ITS 2002 Proceedings, 2002, pp. 484–495
R. Stiles, L. Johnson, A. Munro, VET: Virtual Environments for Training, http://btl.usc.edu/VET/, 1998
B. Ferrero, I. Fernández-Castro, M. Urretavizcaya, Diagnostic et évaluation dans les systèmes de “training” industriel, Diagnosis and assessment in industrial training systems, Simulation et formation professionnelle dans l'industrie, 6(1) (1999), 189–217
M. Shelbourn, G. Aouad, M. Hoxley, Multimedia in construction education: new dimensions, in Automation in Construction, 10, 2001, 265–274
M. Weyrinch, P. Drews, An interactive environment for virtual manufacturing: the virtual workbench, Computers in Industry, 38, Elsevier, 1999
W.B. Lee, C.F. Cheung, J.G. Li, Applications of virtual manufacturing in materials processing, Journal of Materials Processing Technology, 113(1–3) (2001), 416–423
WinUnisoft CNC simulator. www.alecop.es
R.M. Gagné, E.C. Smith, A Study of the Effects of Verbalization on Problem Solving, Journal of Experimental Psychology, 63 (1962), 12–18
A. Collins, J. Brown, S.E. Newman, Cognitive Apprenticeship: Teaching the Crafts of Reading, Writing, and Mathematics, in L.E. Resnick (ed.), Knowing, Learning and Instruction – Essays in Honor of Robert Glaser, Hillsdale, New Jersey, 1989
Cognition and Technology Group at Vanderbilt, “Anchored Instructions and its relationship to situated cognition”, Educational Researcher, 19 (1990), 2–10
Cognition and Technology Group at Vanderbilt, “Technology and the design of generative learning environments”, Educational Technology, 31 (1991), 34–40
J.R. Anderson, R. Farrell, R. Sauers, Learning to program in LISP, Cognitive Science, 8 (1984), 87–129
A. Renkl, R. Stark, H. Gruber, H. Mandl, Learning from worked-out examples: The effects of example variability and elicited self-explanations, Contemporary Educational Psychology, 23 (1998), 90–108
S. Ohlsson, Some Principles of Intelligent Tutoring. In Lawler & Yazdani (Eds.), Artificial Intelligence and Education, 1, Ablex: Norwood, NJ, 1987, 203–238
Wenger E., Artificial Intelligence and tutoring systems. Los Altos, CA. Morgan-Kaufmann, 1987