RT info:eu-repo/semantics/conferenceObject
T1 Collaborative Virtual Reality Environment for Training Load Movement with Overhead Bridge Cranes
A1 Checa Cruz, David
A1 Miguel Alonso, Inés
A1 Guillén Sanz, Henar
A1 Bustillo Iglesias, Andrés
K1 Virtual reality
K1 Overhead crane
K1 Training
K1 Collaborative environments
K1 Informática
K1 Computer science
K1 Tecnología
K1 Technology
AB In the last decade, the rapid development and the price reduction ofimmersive Virtual Reality (iVR) devices allow its application to a wide range ofapplications. The sense of immersion and presence that these iVR devices producesurpasses any other display. These unique characteristic opens up new ways oftraining in Occupational Risk Prevention (ORP). iVR can create applications incollaborative training environments that mimic real situations and reinforce collaborative work and avoids unnecessary risks to the user in their training, as well as toother people or equipment that would exist if working with real equipment. Overhead cranes are one of the most interesting elements for the application of iVRtraining simulators. Firstly, because they are present throughout the productionspace and their movement involves the displacement of heavy loads that are notalways well balanced. In addition, these movements occur in areas where otheroperators might be present and, in some cases, their collaboration is necessaryduring the movement stage. This research presents the design of a collaborativeiVR application for training the movement of loads with overhead cranes. Thisdeveloped application focuses on providing the user with the ability to proficientlyoperate an overhead crane. The usefulness of the iVR application was tested with 3experienced overhead crane operators and 29 undergraduate students. These usersreported that the experience was enjoyable and felt that the iVR environment wasrealistic and that the application would be useful to train how to handle an overheadbridge crane.
PB Springer Nature
SN 0302-9743
YR 2022
FD 2022-08-26
LK http://hdl.handle.net/10259/8369
UL http://hdl.handle.net/10259/8369
LA eng
NO This work was partially supported by the ACIS project (Reference Number INVESTUN/21/BU/0002) of the Consejeria de Empleo e Industria of the Junta de Castilla y León (Spain) and the Erasmus + RISKREAL Project (Reference Number 2020-1-ES01-KA204- 081847) of the European Commission. This work has been made possible thanks to the support received from Nicolas Correa S.A. where the validation tests with final users were performed.
DS Repositorio Institucional de la Universidad de Burgos
RD 10-may-2024