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

Year: 2026

Type: article

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.

Source: Path of Science

DOI: 10.22178/pos.128-2

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

Institutions: University of Bradford, Yaba College of Technology, The Polytechnic Ibadan, Ladoke Akintola University of Technology

Language: English

Topic: BIM and Construction Integration

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $20