A Basic Framework of Virtual Reality Simulator for Advancing Disaster Response Work Using Teleoperated Work Machines
Mitsuhiro Kamezaki*, Junjie Yang**, Hiroyasu Iwata***,
and Shigeki Sugano**
*Research Institute for Science and Engineering (RISE), Waseda University, 17 Kikui-cho, Shinjuku-ku, Tokyo 162-0044, Japan
**Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
***Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, Green Computing System R&D Center, 27 Waseda-machi, Shinjuku-ku, Tokyo 162-0042, Japan
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.
and Shigeki Sugano, “A Basic Framework of Virtual Reality Simulator for Advancing Disaster Response Work Using Teleoperated Work Machines,” J. Robot. Mechatron., Vol.26, No.4, pp. 486-495, 2014.
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