دورية أكاديمية

Intelligent robots and human–robot collaboration in the construction industry: A review

التفاصيل البيبلوغرافية
العنوان: Intelligent robots and human–robot collaboration in the construction industry: A review
المؤلفون: Hsi-Hien Wei, Yuting Zhang, Ximing Sun, Jiayu Chen, Shixian Li
المصدر: Journal of Intelligent Construction, Vol 1, Iss 1, p 9180002 (2023)
بيانات النشر: Tsinghua University Press, 2023.
سنة النشر: 2023
المجموعة: LCC:Hydraulic engineering
LCC:Structural engineering (General)
مصطلحات موضوعية: human–robot collaboration (hrc), robotics, innovation adaption, taxonomy, Hydraulic engineering, TC1-978, Structural engineering (General), TA630-695
الوصف: The construction industry is a typical labor-intensive industry, which suffers from low productivity and labor shortage in the past decades. Recently, the developments in robotics and artificial intelligence technologies highlight the evolutionary reforming potential in the construction industry. An increasing number of robots are joining construction tasks and collaborating with human workers. This study reviews the major developments in intelligent robots and human–robot collaboration (HRC) in the construction industry. The technological foundations and fundamental concepts of construction robots and collaborative robots are reviewed, organized, and discussed to reveal that progress has been made. Based on a comprehensive review, the major challenges and future research directions of HRC have been proposed and examined. This study finally developed a comprehensive and in-depth discussion of the state-of-the-art implementation of robotics technologies in the construction industry and shed light on its path to future development.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2958-3861
2958-2652
77998030
Relation: https://www.sciopen.com/article/10.26599/JIC.2023.9180002; https://doaj.org/toc/2958-3861; https://doaj.org/toc/2958-2652
DOI: 10.26599/JIC.2023.9180002
URL الوصول: https://doaj.org/article/7ae9bc63273e4a46b9c5a7c779980304
رقم الأكسشن: edsdoj.7ae9bc63273e4a46b9c5a7c779980304
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:29583861
29582652
77998030
DOI:10.26599/JIC.2023.9180002