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Virtual Learning for Workers in Robot Deployed Construction Sites

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Advances in Informatics and Computing in Civil and Construction Engineering

Abstract

This paper provides various aspects to consider during the creation of a novel virtual learning environment (VLE) for the education of construction workers interacting with robots. First, the characteristics of existing VLEs in the construction industry, including user interface, navigation method, content, and procedure of learning were reviewed. Several drawbacks of existing environments were identified during the review. Then, the novel features of VLEs in other industries were investigated to find what can be incorporated in the VLEs for the construction industry to mitigate the drawbacks. The existing VLEs in various industries do offer novel features that can be adapted for robot-included work-site trainings and education. However, the construction industry has specific characteristics that are unique and therefore the construction industry-specific characteristics need to be considered when adapting the features of other industries’ VLEs.

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Authors and Affiliations

  1. Sonny Astani Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, CA, 90089, USA

    Soyoung Moon, Burcin Becerik-Gerber & Lucio Soibelman

Authors
  1. Soyoung Moon
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  2. Burcin Becerik-Gerber
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  3. Lucio Soibelman
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Corresponding author

Correspondence to Soyoung Moon .

Editor information

Editors and Affiliations

  1. CAEE, Illinois Institute of Technology, Chicago, IL, USA

    Ivan Mutis

  2. Institute of Civil Engineering, TU Berlin, Berlin, Germany

    Timo Hartmann

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Moon, S., Becerik-Gerber, B., Soibelman, L. (2019). Virtual Learning for Workers in Robot Deployed Construction Sites. In: Mutis, I., Hartmann, T. (eds) Advances in Informatics and Computing in Civil and Construction Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-00220-6_107

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  • DOI: https://doi.org/10.1007/978-3-030-00220-6_107

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00219-0

  • Online ISBN: 978-3-030-00220-6

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