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Intuitive Methods of Industrial Robot Programming in Advanced Manufacturing Systems

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Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 835))

Abstract

In this article a brief review of the modern industrial robot programming methods is given. It is noted that there are a lot of research conducted to improve robot programming process, make it shorter, easier, cost-effective and user friendly. These goals can be achieved by implementing of new advanced achievements of the IT sphere into industrial robotics. Industrial robot programing by demonstration alongside with the use of virtual and augmented reality is one of the most promising technologies that can significantly reduce the integration costs and time for industrial robot integration into a production process.

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Author information

Authors and Affiliations

  1. Wroclaw University of Science and Technology, Lukasiewicza Street 5, 50-371, Wroclaw, Poland

    Kamil Krot & Vitalii Kutia

Authors
  1. Kamil Krot
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  2. Vitalii Kutia
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Corresponding author

Correspondence to Vitalii Kutia .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Anna Burduk

  2. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Edward Chlebus

  3. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Tomasz Nowakowski

  4. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Agnieszka Tubis

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Krot, K., Kutia, V. (2019). Intuitive Methods of Industrial Robot Programming in Advanced Manufacturing Systems. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-319-97490-3_20

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