AI-Driven Robotics in Automated Construction: Enhancing Efficiency, Precision, Safety, and Sustainability

The construction industry has begun to embrace artificial intelligence (AI) and robotics to address ongoing challenges such as inefficiencies, high labor costs, safety concerns, and the need for sustainable practices. This research focuses on exploring the potential of AI-driven robotics in the construction industry to enhance efficiency, productivity, safety, and sustain ability in construction through a comprehensive analysis of existing literature. The study identifies key applications of AI and robotics in automating repetitive tasks, such as 3D printing and prefabrication, which reduce material waste and improve design flexibility. The research also highlights AI's ability to improve on-site safety through real-time hazard detection and monitoring. However, the adoption of these technologies is hindered by barriers such as high costs, technical expertise requirements, and a lack of trust in AI systems. The study provides suggestions for overcoming these barriers, including investing in workforce training and promoting transparency in AI decision-making processes. The findings indicate that AI and robotics are essential for achieving sustainable construction practices, particularly by optimizing material use and reducing the energy footprint of construction projects. Although theoretical, this research provides a foundation for future empirical studies aimed at validating the practical applications of these technologies in real-world construction settings.