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A Customizable VR System Supporting Industrial Equipment Operator Training

Articolo
Data di Pubblicazione:
2023
Abstract:
The use of VR immersive systems for the training of operators in various industrial contexts is becoming more and more common thanks to the possibility of simulating a great variety of situations in safe conditions, which can hardly be experienced in reality without risks. One of the main issues in the development of such training systems is the cost for the creation of alternative learning scenarios, which normally requires the simultaneous involvement of the training expert for its design and the IT specialist for its realization in the VR environment. To reduce this effort, this paper proposes a methodology to allow the training expert to directly specify the training scenarios using familiar tools. The method is devised considering the training of steam generator operators, but it can be easily adapted for other industrial equipment.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Virtual reality; smart objects; simulation; training
Elenco autori:
Zhu, Yuanju; Monti, Marina; Giannini, Franca; Lupinetti, Katia
Autori di Ateneo:
GIANNINI FRANCA
LUPINETTI KATIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/461034
Pubblicato in:
COMPUTER-AIDED DESIGN AND APPLICATIONS
Journal
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