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

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

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.


10.22178/pos.128-2


Keywords


Artificial Intelligence; Construction Automation; Robotics; Safety Enhancement; Efficiency Optimisation; Real-time Decision Making; Industry 4.0; Smart Construction

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References


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Copyright (c) 2026 Alademomi Ademola Peter, Olamide Segun Olatunji, Oyeyemi Ayokunle Oluwafemi, Alawode Rotimi Samuel, Stanley Abela Udoh, Alawode Deborah Oluwabusola

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