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A Basic Framework of Virtual Reality Simulator for Advancing Disaster Response Work Using Teleoperated Work Machines
Author(s) -
Mitsuhiro Kamezaki,
Junjie Yang,
Hiroyasu Iwata,
Shigeki Sugano
Publication year - 2014
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2014.p0486
Subject(s) - virtual reality , teleoperation , zoom , component (thermodynamics) , computer science , simulation , virtual machine , haptic technology , work (physics) , graphics , human–computer interaction , computer graphics (images) , real time computing , robot , engineering , artificial intelligence , operating system , physics , petroleum engineering , thermodynamics , lens (geology) , mechanical engineering
Virtual reality simulator A virtual reality (VR) simulator is developed to aid in advancing teleoperated construction machines for disaster response work. VR simulators, which can measure arbitrary data, allow the operator to reproduce desired situations repeatedly, and change the machine and environmental configurations more easily than is possible in real environments, can create teleoperation technologies and quantitatively evaluate them, and can improve operational skills in complex disaster response works. As basic components of a VR simulator, a VR environment, operation-input, and videooutput components are developed. The VR environment is built using a basic graphics library and dynamics engine for simplification. The operation-input component consists of control levers for a demolition machine that has a grapple and environmental cameras with yaw, pitch, and zoom functions. The videooutput component consists of a two-dimensional monitor that can display an in-vehicle camera view, multiple environmental camera views, and the machine status. Experiments conducted show that operators can adequately transport debris in the VR environment while watching views on the monitor from the in-vehicle and environmental cameras. The experiments also reveal the characteristics that reduce the machine’s time efficiency.

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