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Robotics and automated systems in construction: Understanding industry-specific challenges for adoption

Davila Delgado, Juan Manuel; Oyedele, Lukumon; Ajayi, Anuoluwapo; Akanbi, Lukman; Akinade, L.; Bilal, Muhammad; Owolabi, Hakeem

Authors

Manuel Davila Delgado Manuel.Daviladelgado@uwe.ac.uk
Associate Professor - AR/VR Development with Artificial Intelligence

Lukumon Oyedele L.Oyedele@uwe.ac.uk
Professor in Enterprise & Project Management

Anuoluwapo Ajayi Anuoluwapo.Ajayi@uwe.ac.uk
Associate Professor - Big Data Application

Dr Lukman Akanbi Lukman.Akanbi@uwe.ac.uk
Associate Professor - Big Data Application Developer

Olugbenga Akinade Olugbenga.Akinade@uwe.ac.uk
Associate Professor - AR/VR Development with Artificial Intelligence

Muhammad Bilal Muhammad.Bilal@uwe.ac.uk
Associate Professor - Big Data Application

Hakeem Owolabi Hakeem.Owolabi@uwe.ac.uk
Associate Professor - Project Analytics and Digital Enterprise



Abstract

© 2019 The Authors The construction industry is a major economic sector, but it is plagued with inefficiencies and low productivity. Robotics and automated systems have the potential to address these shortcomings; however, the level of adoption in the construction industry is very low. This paper presents an investigation into the industry-specific factors that limit the adoption in the construction industry. A mixed research method was employed combining literature review, qualitative and quantitative data collection and analysis. Three focus groups with 28 experts and an online questionnaire were conducted. Principal component and correlation analyses were conducted to group the identified factors and find hidden correlations. The main identified challenges were grouped into four categories and ranked in order of importance: contractor-side economic factors, client-side economic factors, technical and work-culture factors, and weak business case factors. No strong correlation was found among factors. This study will help stakeholders to understand the main industry-specific factors limiting the adoption of robotics and automated systems in the construction industry. The presented findings will support stakeholders to devise mitigation strategies.

Journal Article Type Article
Acceptance Date Jul 9, 2019
Online Publication Date Jul 12, 2019
Publication Date Nov 1, 2019
Deposit Date Jul 11, 2019
Publicly Available Date Aug 2, 2019
Journal Journal of Building Engineering
Electronic ISSN 2352-7102
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 26
Article Number 100868
DOI https://doi.org/10.1016/j.jobe.2019.100868
Keywords robotics, automated systems, additive manufacturing, exoskeletons, autonomous vehicles, off-site construction, UAV, drones, off-site manufacturing, construction
Public URL https://uwe-repository.worktribe.com/output/1491964
Publisher URL https://doi.org/10.1016/j.jobe.2019.100868
Contract Date Jul 11, 2019

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