Research trend analysis for construction automation

Kiyoun Pyo, Dongmin Lee, Dongyoun Lee, Hyunsu Lim, Hunhee Cho, Kyung In Kang

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

Automation has been an active research topic in the construction industry for many years to improve the accuracy, reliability, and efficiency of the construction process. This study identifies global research trends in automation in construction during the past 15 years by analyzing papers published in the journal Automation in Construction. Text mining, data clustering, and keyword network analysis were applied to identify emerging technologies. According to the clustering of the most recent three years’ research, the main topics fall into seven categories: BIM(building information modeling), optimization, data acquisition, big data and AI, 3-D printing, wearable devices, and others. Over the various regions and periods, the results showed that the research focus has shifted from traditional mechanical automation to construction data acquisition, management, and analysis, introducing a new historical period in construction automation.

Original languageEnglish
Publication statusPublished - 2018
Event35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018 - Berlin, Germany
Duration: 2018 Jul 202018 Jul 25

Other

Other35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018
Country/TerritoryGermany
CityBerlin
Period18/7/2018/7/25

Bibliographical note

Funding Information:
This research was supported by a grant (18AUDP-B106327-04) from the Architecture & Urban Development Research Program funded by the Ministry of Land, Infrastructure and Transport of the Korean Government.

Funding Information:
This work was also supported by the National Research Foundation of Korea through a grant funded by the Korean Government (2016R1A2B3015348). The contribution of the Ministry of Science, ICT and Future Planning is gratefully acknowledged.

Publisher Copyright:
© ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things. All rights reserved.

Keywords

  • Construction automation
  • K-means clustering
  • Keyword network
  • Text mining
  • Trend analysis

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Building and Construction

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