Examining the integration of Artificial Intelligence in automated building construction and design optimization

Onah Louis Kachiside 1 and Temitope Sunday Adeusi 2, *

1 Department of Architecture, College of Environmental Sciences, Joseph Ayo Babalola University, Osun State, Nigeria.
2 Department of Architecture, Faculty of Environmental Studies, University of Nigeria, Nsukka, Enugu, Nigeria.
 
Review Article
GSC Advanced Research and Reviews, 2024, 21(03), 395-405.
Article DOI: 10.30574/gscarr.2024.21.3.0514
Publication history: 
Received on 08 November 2024; revised on 24 December 2024; accepted on 27 December 2024
 
Abstract: 
The convergence of artificial intelligence and automated building construction represents a transformative technological advancement that fundamentally reshapes construction methodologies and design optimization processes. This research investigates how AI-driven automation and computational approaches are revolutionizing the construction industry by introducing unprecedented capabilities in construction robotics, real-time optimization, and automated design validation.
Artificial intelligence emerges as a pivotal technology that enhances construction efficiency and precision. Advanced machine learning algorithms and robotic systems enable automated construction processes that can analyze complex building requirements, optimize resource allocation, and execute construction tasks with unprecedented accuracy and speed. These systems demonstrate remarkable potential in reducing construction time, minimizing material waste, and ensuring higher quality standards.
Empirical evidence from case studies of automated construction projects in Japan and Switzerland demonstrates how AI-integrated systems can achieve construction outcomes that surpass traditional methodologies, addressing critical challenges in labor shortages, safety concerns, and construction quality control. The research examines implementations of AI-powered construction robots in high-rise buildings and complex architectural structures, showcasing significant improvements in construction speed and precision.
The research critically examines both the technological capabilities and limitations of AI in construction automation. It addresses challenges in system integration, robotic dexterity, and the complexity of coordinating multiple automated systems. By emphasizing the need for standardized protocols and robust safety frameworks, the study provides a comprehensive approach that balances technological innovation with practical implementation considerations.
Ultimately, this research provides insights into the transformative potential of artificial intelligence in revolutionizing construction processes and optimizing building design implementation.
 
Keywords: 
Construction Automation; AI Integration; Robotic Construction; Design Optimization; Machine Learning; Construction Efficiency
 
Full text article in PDF: 
Share this