A REVIEW ON AUGMENTED REALITY TRACKING METHODS FOR MAINTENANCE OF ROBOTS

Authors

  • Ye Sheng Koh School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, UTM Johor Bahru, Johor, Malaysia https://orcid.org/0000-0002-6349-8454
  • Kai Woon Goh School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, UTM Johor Bahru, Johor, Malaysia
  • Marvin Dares School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, UTM Johor Bahru, Johor, Malaysia
  • Che Fai Yeong School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, UTM Johor Bahru, Johor, Malaysia
  • Eileen Su Lee Ming School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, UTM Johor Bahru, Johor, Malaysia
  • Mohd. Shahrizal Sunar bMedia and Game Innovation Centre of Excellence, Institute of Human Centered Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, MalaysiacSchool of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Yik Shin Tey DF Automation and Robotics Sdn. Bhd., 81310, Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jurnalteknologi.v83.14907

Keywords:

Augmented reality, AR, maintenance, robot, tracking

Abstract

Augmented reality (AR) in maintenance is a broad subject with many nuances when it comes to their implementation. The applications of these systems range from maintenance of large-scale assets such as buildings to smaller scale assets such as robots. Applications of AR in maintenance typically serves as a visual guide to assist users in diagnosis or steps needed to be performed for maintenance. In this paper, the tracking methods utilized in AR-based maintenance for robots are qualitatively evaluated. The reviewed works in this paper are between the years of 2015 to 2020 to ensure that the AR tracking methods are relatively state of the art. It is found that applications of AR-based maintenance for robots are uncommon in the scope defined in this research especially in the industrial environment as most reviewed works are conducted in a laboratory setting. In addition to that, it is found that marker-based tracking methods are commonly utilized in these applications.

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Published

2020-12-07

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Section

Science and Engineering