Intelligent Construction Equipment and Robotics

Alessandro Pracucci, Laura Vandi*, SeyedReza RazaviAlavi

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    3 Citations (Scopus)
    23 Downloads (Pure)

    Abstract

    With recent advancement in software, hardware, and computing technologies, applications of intelligent equipment and robots (IER) are growing in the construction industry. This chapter aims to review key advantages, use cases and barriers of adopting IER in construction and renovation projects. The chapter evaluates the maturity of available IER technologies in the market and discusses the key concerns and barriers for adopting IER such as the unstructured and dynamic nature of construction sites limiting mobility and communication of IER, hazards of human-robot interactions, training and skills required for operating and collaborating with IER, and cybersecurity concerns. Finally, the chapter proposes a framework for implementing IER that helps in their benefits by defining relevant metrics while considering their pitfalls in terms of quality, safety, time, and cost. This framework assists practitioners in decision-making for adopting IER in their construction operation.
    Original languageEnglish
    Title of host publicationDisrupting Buildings
    Subtitle of host publicationDigitalisation and the Transformation of Deep Renovation
    EditorsTheo Lynn, Pierangelo Rosati, Mohamad Kassem, Stelios Krinidis, Jennifer Kennedy
    Place of PublicationCham, Switzerland
    PublisherSpringer
    Pages111-133
    Edition1st
    ISBN (Electronic)9783031323096
    ISBN (Print)9783031323089
    DOIs
    Publication statusPublished - 30 Jul 2023

    Publication series

    NamePalgrave Studies in Digital Business & Enabling Technologies (PSDBET)
    PublisherPalgrave Macmillan
    VolumePart F1217
    ISSN (Print)2662-1282
    ISSN (Electronic)2662-1290

    Keywords

    • Robotics
    • Construction
    • Safety
    • Monitoring
    • Quality control
    • Assessment framework

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