TY - GEN
T1 - Robotics Adoption in the Construction Sector
T2 - 9th Future Technologies Conference, FTC 2024
AU - Otasowie, Kenneth
AU - Aigbavboa, Clinton
AU - Adekunle, Peter
AU - Ikuabe, Matthew
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Robotics has substantially enhanced industrial productivity, service procedures, commercial operations, automated processes and given firms more competitive advantages than traditional methods. Hence, this study assesses robotics adoption research in the construction sector to reveal the current research trend while highlighting the future directions. Adopting a bibliometric approach, the study utilises the Scopus database as the data source. The keywords adopted for the search were (“Robotics” OR “Robots”) AND (“Construction Industry” OR “Building Industry” OR “Construction Sector”). Thereafter, the VOSviewer application software was used to analyse and generate the keyword co-occurrences according to the bibliographical data. The findings indicate that five research clusters represent the current trends of robotics research in the construction sector. These clusters include robotics construction design and management, robotic printing, robotic fabrication, robotics for construction safety, and automation and robotics for construction information management. The study concludes that robotics adoption in construction and demolition waste identification and sorting is the area that requires attention in the construction sector. This suggests that further research is necessary in this domain. Closing this gap will help to eliminate the issues associated with construction and demolition waste identification and sorting, guaranteeing that the construction sector meets sustainability standards.
AB - Robotics has substantially enhanced industrial productivity, service procedures, commercial operations, automated processes and given firms more competitive advantages than traditional methods. Hence, this study assesses robotics adoption research in the construction sector to reveal the current research trend while highlighting the future directions. Adopting a bibliometric approach, the study utilises the Scopus database as the data source. The keywords adopted for the search were (“Robotics” OR “Robots”) AND (“Construction Industry” OR “Building Industry” OR “Construction Sector”). Thereafter, the VOSviewer application software was used to analyse and generate the keyword co-occurrences according to the bibliographical data. The findings indicate that five research clusters represent the current trends of robotics research in the construction sector. These clusters include robotics construction design and management, robotic printing, robotic fabrication, robotics for construction safety, and automation and robotics for construction information management. The study concludes that robotics adoption in construction and demolition waste identification and sorting is the area that requires attention in the construction sector. This suggests that further research is necessary in this domain. Closing this gap will help to eliminate the issues associated with construction and demolition waste identification and sorting, guaranteeing that the construction sector meets sustainability standards.
KW - Bibliometric review
KW - Construction sector
KW - Research trend
KW - Robotics
UR - http://www.scopus.com/inward/record.url?scp=85209546753&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-73128-0_41
DO - 10.1007/978-3-031-73128-0_41
M3 - Conference contribution
AN - SCOPUS:85209546753
SN - 9783031731273
T3 - Lecture Notes in Networks and Systems
SP - 608
EP - 620
BT - Proceedings of the Future Technologies Conference (FTC) 2024
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 14 November 2024 through 15 November 2024
ER -