Title:	A SCALABLE, LEARNING BASED, VR SIMULATION OF MACHINE TOOLS
Author(s):	Juan Diego Toro, Fernando De la Rosa, Pablo Figueroa
ISBN:	978-972-8939-22-9
Editors:	Yingcai Xiao, Tomaz Amon and Piet Kommers
Year:	2010
Edition:	Single
Keywords:	Human computer interaction, computer-based learning, simulated laboratory, virtual learning experience, machine-tool
Type:	Full Paper
First Page:	277
Last Page:	284
Language:	English
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Paper Abstract:	We present a scalable application for machine-tool manipulation in VR environments, which aims to support a progressive learning environment. The application allows interacting with a machine-tool in three different levels, focusing on increasing the manipulation skills acquired by the student/user in each level. Our application represents the machine-tool geometry with a defined VRML model and its cinematic constraints with a XML file. This representation allows users to directly interact with the main machine parts. The VRML and XML representations make possible to simulate different machine-tools, an clearly describe the cinematic capabilities of a machine. In addition, the computer application can connect the simulated machine-tool with its real counterpart. In this way, the user is introduced to learning how to control the real machine by using the virtual model. Students from the mechatronic engineering department and others from different careers tested our application, and completed our evaluation in order to let us compare their knowledge in machine manipulation before and after using the application.
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