Exploring three pillars of construction robotics via dual-track quantitative analysis

Construction robotics has emerged as a leading technology in the construction industry. This paper conducts an innovative dual-track quantitative comprehensive method to analyze the current literature and assess future trends. First, a bibliometric review of 955 journal articles published between 19...

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Main Authors: Liu, Yuming, Alias, Aidi Hizami, Haron, Nuzul Azam, Abu Bakar, Nabilah, Wang, Hao
Format: Article
Language:English
Published: Elsevier BV 2024
Online Access:http://psasir.upm.edu.my/id/eprint/118046/
http://psasir.upm.edu.my/id/eprint/118046/1/118046.pdf
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author Liu, Yuming
Alias, Aidi Hizami
Haron, Nuzul Azam
Abu Bakar, Nabilah
Wang, Hao
author_facet Liu, Yuming
Alias, Aidi Hizami
Haron, Nuzul Azam
Abu Bakar, Nabilah
Wang, Hao
author_sort Liu, Yuming
building UPM Institutional Repository
collection Online Access
description Construction robotics has emerged as a leading technology in the construction industry. This paper conducts an innovative dual-track quantitative comprehensive method to analyze the current literature and assess future trends. First, a bibliometric review of 955 journal articles published between 1974 and 2023 was performed, exploring keywords, journals, countries, and clusters. Furthermore, a neural topic model based on BERTopic addresses topic modeling repetition issues. The study identifies building information modeling (BIM), human–robot collaboration (HRC), and deep reinforcement learning (DRL) as “three pillars” in the field. Additionally, we systematically reviewed the relevant literature and nested symbiotic relationships. The outcome of this study is twofold: first, the findings provide quantitative and qualitative scientific guidance for future research on trends; second, the innovative dual-track quantitative analysis research methodology simultaneously stimulates critical thinking about the modeling of other similarly trending topics characterized to avoid high degree of homogeneity and corpus overlap.
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T14:36:07Z
publishDate 2024
publisher Elsevier BV
recordtype eprints
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spelling upm-1180462025-06-23T04:52:04Z http://psasir.upm.edu.my/id/eprint/118046/ Exploring three pillars of construction robotics via dual-track quantitative analysis Liu, Yuming Alias, Aidi Hizami Haron, Nuzul Azam Abu Bakar, Nabilah Wang, Hao Construction robotics has emerged as a leading technology in the construction industry. This paper conducts an innovative dual-track quantitative comprehensive method to analyze the current literature and assess future trends. First, a bibliometric review of 955 journal articles published between 1974 and 2023 was performed, exploring keywords, journals, countries, and clusters. Furthermore, a neural topic model based on BERTopic addresses topic modeling repetition issues. The study identifies building information modeling (BIM), human–robot collaboration (HRC), and deep reinforcement learning (DRL) as “three pillars” in the field. Additionally, we systematically reviewed the relevant literature and nested symbiotic relationships. The outcome of this study is twofold: first, the findings provide quantitative and qualitative scientific guidance for future research on trends; second, the innovative dual-track quantitative analysis research methodology simultaneously stimulates critical thinking about the modeling of other similarly trending topics characterized to avoid high degree of homogeneity and corpus overlap. Elsevier BV 2024 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/118046/1/118046.pdf Liu, Yuming and Alias, Aidi Hizami and Haron, Nuzul Azam and Abu Bakar, Nabilah and Wang, Hao (2024) Exploring three pillars of construction robotics via dual-track quantitative analysis. Automation in Construction, 162. art. no. 105391. pp. 1-30. ISSN 0926-5805 https://www.sciencedirect.com/science/article/pii/S0926580524001274?via%3Dihub 10.1016/j.autcon.2024.105391
spellingShingle Liu, Yuming
Alias, Aidi Hizami
Haron, Nuzul Azam
Abu Bakar, Nabilah
Wang, Hao
Exploring three pillars of construction robotics via dual-track quantitative analysis
title Exploring three pillars of construction robotics via dual-track quantitative analysis
title_full Exploring three pillars of construction robotics via dual-track quantitative analysis
title_fullStr Exploring three pillars of construction robotics via dual-track quantitative analysis
title_full_unstemmed Exploring three pillars of construction robotics via dual-track quantitative analysis
title_short Exploring three pillars of construction robotics via dual-track quantitative analysis
title_sort exploring three pillars of construction robotics via dual-track quantitative analysis
url http://psasir.upm.edu.my/id/eprint/118046/
http://psasir.upm.edu.my/id/eprint/118046/
http://psasir.upm.edu.my/id/eprint/118046/
http://psasir.upm.edu.my/id/eprint/118046/1/118046.pdf