AI-Driven Automation and Robotics in Construction: Enhancing Safety, Efficiency, and Real-Time Decision Making

The construction industry is going through a revolutionary change with the introduction of artificial intelligence (AI) powered automation and robotics. This paper examines the current status and prospects of artificial intelligence in construction, with a focus on enhancing safety, operational efficiency, and real-time decision-making. Through a comprehensive study that reviews articles and analyses existing deployments, this study highlights some of the most important technologies, such as autonomous construction vehicles, artificial intelligence (AI)-powered safety tracking systems, predictive maintenance algorithms, and building robotic assistants. The research shows reductions in workplace accidents of up to 35%, efficiency gains of 20-40% in some tasks, and decision-making based on real-time data as real achievements. However, there are still challenges with initial investment costs, workforce adaptation, and regulatory frameworks. The paper then offers recommendations to industry stakeholders for successfully implementing AI-driven solutions amid the identified barriers.

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Publication Details

Journal
Path of Science
Published
2026-03-31
DOI
https://doi.org/10.22178/pos.128-2
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
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AI-Driven Automation and Robotics in Construction: Enhancing Safety, Efficiency, and Real-Time Decision Making

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AI-Driven Automation and Robotics in Construction: Enhancing Safety, Efficiency, and Real-Time Decision Making

Alademomi Ademola Peter, Stanley Abela Udoh, Alawode Deborah Oluwabusola, Olamide Segun Olatunji, Oyeyemi Ayokunle Oluwafemi, Alawode Rotimi Samuel
article en

Abstract

The construction industry is going through a revolutionary change with the introduction of artificial intelligence (AI) powered automation and robotics. This paper examines the current status and prospects of artificial intelligence in construction, with a focus on enhancing safety, operational efficiency, and real-time decision-making. Through a comprehensive study that reviews articles and analyses existing deployments, this study highlights some of the most important technologies, such as autonomous construction vehicles, artificial intelligence (AI)-powered safety tracking systems, predictive maintenance algorithms, and building robotic assistants. The research shows reductions in workplace accidents of up to 35%, efficiency gains of 20-40% in some tasks, and decision-making based on real-time data as real achievements. However, there are still challenges with initial investment costs, workforce adaptation, and regulatory frameworks. The paper then offers recommendations to industry stakeholders for successfully implementing AI-driven solutions amid the identified barriers.

Path of ScienceVol. 12(3)
University of Bradford (GB), Yaba College of Technology (NG), The Polytechnic Ibadan (NG), Ladoke Akintola University of Technology (NG)
Openalex Percentile: Top 15%
BIM and Construction Integration
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