Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138181
Title: Augmented reality interface for taping robot
Authors: Dinh, Huy
Yuan, Quilong
Viatcheslav, Iastrebov
Seet, Gerald
Keywords: Engineering::Mechanical engineering
Issue Date: 2017
Source: Dinh, H., Yuan, Q., Vietcheslav, I., & Seet, G. (2017). Augmented reality interface for taping robot. Proceedings of the 2017 18th International Conference on Advanced Robotics (ICAR). doi:10.1109/ICAR.2017.8023530
Conference: 2017 18th International Conference on Advanced Robotics (ICAR)
Abstract: Applying masking tape to a particular area is a very important step for protecting an uninvolved surface in processes like mechanical part repairing or surface protection. In the past, the task was very time-consuming and required a lot of manual works. In recent years, with some advances in the fields of automatic robotic system and computer vision, the task now can be completed with the help of an automatic taping system containing a 3D scanner, a manipulator and a rotating platform. This implementation has been proved to provide better quality and be at least twice as fast as comparing to the work done by a human operator. However, there are still some limitations of this setup. First, it is difficult for the user to monitor the taping process since the system uses the 3D scanner to reconstruct the surface model and there is no calibrated projector to overlay the manipulator's trajectory over the real surface. Second, the main user is supposed to use a computer with keyboard and mouse to identify the area for masking which requires some expert knowledge and might not be appropriate in an industrial context where people wear protective equipment such as gloves or helmet. This paper introduces the use of spatial augmented reality technology and wearable device in the semi-automatic taping robotic system and the related calibration algorithms to enhance the user experience. The framework and its components are presented, with a case study and some results.
URI: https://hdl.handle.net/10356/138181
ISBN: 978-1-5386-3158-4
DOI: 10.1109/ICAR.2017.8023530
Schools: School of Mechanical and Aerospace Engineering 
Interdisciplinary Graduate School (IGS) 
Research Centres: Robotics Research Centre 
Rights: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICAR.2017.8023530.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IMI Conference Papers

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