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An augmented reality-based training system with a natural user interface for manual milling operations

  • Chih-Kai Yang
  • Yu-Hsi Chen
  • Tung-Jui Chuang
  • Kalpana Shankhwar
  • Shana SmithEmail author
Original Article
  • 33 Downloads

Abstract

This study developed an augmented reality (AR)-based training system for conventional manual milling operations. An Intel RealSense R200 depth camera and a Leap Motion controller were mounted on an HTC Vive head-mounted display to allow users freely walk around in a room-size AR environment to operate a full-size virtual milling machine with their barehands, using their natural operation behaviors, as if they were operating a real milling machine in the real world, without additional worn or handheld devices. GPU parallel computing was used to handle dynamic occlusions and accelerate the machining simulation to achieve a real-time simulation. Using the developed AR-based training system, novices can receive a hands-on training in a safe environment, without any injury or damage. User test results showed that using the developed AR-based training resulted in lower failure rates and inquiry times than using video training. Users also commented that the AR-based training was interesting and helpful for novices to learn the basic manual milling operation techniques.

Keywords

Augmented reality Natural operation behavior Manual milling operation Occlusion 

Notes

Acknowledgements

The authors would like to thank the Ministry of Science and Technology, Taiwan, Republic of China for financially supporting this research under Contract MOST 108-2221-E-002-161-MY2.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringNational Taiwan UniversityTaipeiTaiwan

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