Download PDFOpen PDF in browser

AI and Robotics: Transforming Automation and Labor Productivity in the Construction Industry

EasyChair Preprint 15086

12 pagesDate: September 26, 2024

Abstract

The construction industry is undergoing a profound transformation through the integration of artificial intelligence (AI) and robotics, significantly enhancing automation and labor productivity. This paper examines the current trends and applications of AI and robotic technologies in construction, focusing on their impact on project efficiency, safety, and workforce dynamics. AI algorithms optimize project planning, resource allocation, and risk management, enabling data-driven decision-making and predictive analytics. Robotics, including autonomous drones, robotic arms, and exoskeletons, streamline construction processes by performing tasks such as site surveying, material handling, and heavy lifting with precision and speed. The adoption of these technologies not only mitigates labor shortages but also improves worker safety by reducing exposure to hazardous environments. Additionally, this paper discusses the challenges and barriers to implementing AI and robotics, including high initial costs, the need for skilled labor, and potential resistance to change within the industry. Ultimately, this study highlights the transformative potential of AI and robotics in reshaping the future of construction, suggesting that a synergistic approach combining human expertise and technological innovation is essential for maximizing productivity and ensuring sustainable growth in this critical sector.

Keyphrases: Artificial Intelligence, Automation, Autonomous Machinery, Drones, Robotics, labor productivity

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:15086,
  author    = {John Owen},
  title     = {AI and Robotics: Transforming Automation and Labor Productivity in the Construction Industry},
  howpublished = {EasyChair Preprint 15086},
  year      = {EasyChair, 2024}}
Download PDFOpen PDF in browser