Barrier Analysis of Effective Implementation of Robotics in the Construction Industry

Amit Ojha, Mahmoud Habibnezhad, Houtan Jebelli, Robert Leicht

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

The construction industry is one of the largest economic sectors in the United States, contributing to 4.1% of the nation's gross domestic product. Despite its economic importance, the construction industry is plagued with labor shortages, unsafe working conditions, stagnant productivity, and inefficiencies resulting from industry fragmentation. With the recent advancements in mechatronics, artificial intelligence, and sensing systems, the implementation of robotic technologies appears poised to revolutionize construction. However, the construction industry is still falling short of the widespread adoption of robotic technologies prevalent in other sectors. The present study investigates the contributory factors of this gap, delineates the potential barriers, and provides recommendations to lift these barriers and expedite the transition process. To determine the limiting factors to the widespread implementation of construction robots, a set of questionnaires were distributed to ten major construction companies. The questionnaires were developed by the experts in the related fields and validated by industry professionals. The statistical results of the questionnaires revealed the factors that impede the large-scale robotic adoptions, including high-capital investment and job security as primary factors. The findings of this research can provide the necessary insight to understanding and potentially lifting obstacles to the ubiquitous implementation of robotic technologies in the construction industry.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2022
Subtitle of host publicationComputer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
EditorsFarrokh Jazizadeh, Tripp Shealy, Michael J. Garvin
PublisherAmerican Society of Civil Engineers (ASCE)
Pages661-669
Number of pages9
ISBN (Electronic)9780784483961
DOIs
StatePublished - 2022
EventConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022 - Arlington, United States
Duration: Mar 9 2022Mar 12 2022

Publication series

NameConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
Volume2-B

Conference

ConferenceConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022
Country/TerritoryUnited States
CityArlington
Period3/9/223/12/22

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction

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