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ARTool- Augmented Reality Platform for Machining Setup and Maintenance

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (IntelliSys 2016)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 15))

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Abstract

In manufacturing applications, setup and part-program verification on CNC machine tools is a time-consuming and error-prone operation, whose costs are especially relevant when dealing with small batches, custom components, and large/complex shapes. This paper presents an Augmented Reality application aimed at supporting machine tool operators in setting up the machining process, simplifying and quickening the identification of setup errors and misalignments. The paper firstly discusses the system architecture and its implementation, then presents a set of benchmark tests assessing system accuracy and reliability in ego-localization against an open-source AR library and an optical multistereoscopic motion capture ground-truth. Finally, the effectiveness of the proposed solution on the typical part-program setup workflow is assessed by comparison with a standard in-air part-program execution and evaluated by means of a NASA TLX test campaign.

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Author information

Authors and Affiliations

  1. ARTool, Trento, Italy

    Amedeo Setti

  2. Department of Industrial Engineering, University of Trento, Trento, Italy

    Paolo Bosetti & Matteo Ragni

Authors
  1. Amedeo Setti
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  2. Paolo Bosetti
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  3. Matteo Ragni
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Corresponding author

Correspondence to Paolo Bosetti .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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Setti, A., Bosetti, P., Ragni, M. (2018). ARTool- Augmented Reality Platform for Machining Setup and Maintenance. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_33

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  • DOI: https://doi.org/10.1007/978-3-319-56994-9_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56993-2

  • Online ISBN: 978-3-319-56994-9

  • eBook Packages: EngineeringEngineering (R0)

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