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Toward Learning Factory for Industry 4.0: Virtual Reality (VR) for Learning Human–Robot Collaboration

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Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1029))

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Abstract

Industry 4.0 will bring not only transformation to the manufacturing technologies but also to the profile of the workforce. Education system should be revised to prepare the future graduates embracing the knowledge of the ongoing revolution. Initiatives on the modification of curriculum and tools to deliver the concepts of Industry 4.0 must be taken. This paper examines limitations of current engineering tools and proposes a virtual reality (VR)-based learning platform to support the teaching and learning activity for Industry 4.0, focusing on the design of Human–robot Collaboration (HRC). The development process began with the identification of the general Intended Learning Outcomes (ILOs) which were extracted from the review of the HRC design issues, followed by the evaluation of the current teaching tool. From these results, the new requirements of the tools to achieve ILOs are redefined. The implementation of the system is demonstrated to show the feasibility of the proposed learning platform. This workflow can serve as initial development of another learning platform for the other innovative concepts that form the building blocks of Industry 4.0.

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Acknowledgements

The authors would like to acknowledge the participation of Peng Bo Cong, Shi Lei Lyu, and Camille Sebastien Ronan Feuntun for the evaluation of Jack software.

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Authors and Affiliations

  1. Bioinformatics and Data Science Research Centre, Bina Nusantara University, Jakarta, 11480, Indonesia

    Dedy Ariansyah & Bens Pardamean

  2. Department of Mechanical Engineering, Politecnico di Milano, 20156, Milan, Italy

    Giorgio Colombo

  3. Computer Science Department, BINUS Graduate Program Master of Computer Science Program, Bina Nusantara University, Jakarta, 11480, Indonesia

    Bens Pardamean

Authors
  1. Dedy Ariansyah
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  2. Giorgio Colombo
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  3. Bens Pardamean
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Corresponding author

Correspondence to Dedy Ariansyah .

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Editors and Affiliations

  1. School of Engineering, Macquarie University, Sydney, NSW, Australia

    Subhas Chandra Mukhopadhyay

  2. Faculty of Science, Taylor’s University, Selangor, Malaysia

    S.M. Namal Arosha Senanayake

  3. Charles Sturt University, Bathurst, NSW, Australia

    P.W. Chandana Withana

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Ariansyah, D., Colombo, G., Pardamean, B. (2023). Toward Learning Factory for Industry 4.0: Virtual Reality (VR) for Learning Human–Robot Collaboration. In: Mukhopadhyay, S.C., Senanayake, S.N.A., Withana, P.C. (eds) Innovative Technologies in Intelligent Systems and Industrial Applications. CITISIA 2022. Lecture Notes in Electrical Engineering, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-031-29078-7_10

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