Author
Abstract
The study explores recent innovations in robotic and sensor-based technologies that are spearheading advancements in the construction sector to achieve improvements in construction quality, efficiency, and safety. Automation in construction, although coined as a concept in 1980s, has witnessed minimal progress in the level of application. The study attempts to identify issues constraining adoption of automation in the sector, the recent developments in technologies and their scope in construction, their applications and impacts, and way forward. The role of robotics in various stages of construction and its impact on a wider scale has been identified and discussed. The evolution of Building Information Modeling (BIM) has transitioned it into being an efficient mediator in the construction process with novel concepts such as 4D and 5D BIM and Building Knowledge Management. Various sensor technologies, functioning at diverse scales, have found wide-ranging applications on construction sites ranging from high-accuracy positioning to slow-tracking of personnel and materials, as well as, in progress monitoring and quality control. Information Technology has a major role in binding the sensor technology with on-site requirements to create positive results. A study was done to identify such technological interventions and various software utilities which integrate BIM and sensor technology with tools such as GIS. The factors which restrained developments in automation in construction sector were identified in the course of study. Various global examples of advanced automated construction technologies with applications in various stages of construction were discussed. The review successfully identifies the nascent technological innovations and their productive usage in relevant areas of construction sector.
Suggested Citation
Aditya S. Nath, 2022.
"A Review of Advancements in Robotic and Sensor-based Technologies in Construction Sector,"
European Journal of Engineering and Technology Research, European Open Science, vol. 7(1), pages 85-89, January.
Handle:
RePEc:epw:ejeng0:v:7:y:2022:i:1:id:62624
DOI: 10.24018/ejeng.2022.7.1.2624
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejeng0:v:7:y:2022:i:1:id:62624. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.