AI and ML Applications in Digital Twins and Robotics

摘要

This chapter examines the transformative impact of artificial intelligence and machine learning in the construction industry, focusing on their integration with robotics and digital twins. The chapter details how these technologies enhance productivity, reduce costs, and improve project outcomes through predictive maintenance, real-time monitoring, and performance optimization. It highlights the role of artificial intelligence and machine learning in automating quality control, enhancing safety, and enabling precise project forecasting. The chapter provides practical examples of artificial intelligence and machine learning applications, such as using predictive analytics for construction forecasting, artificial intelligence powered techniques for robotics and digital twins, and intelligent project management systems. It also discusses the benefits of artificial intelligence enhanced robotics in various industries, including healthcare, manufacturing, logistics, and agriculture. Case studies, such as the semi-automated mason bricklaying robot, illustrate the real-world impact of these technologies in improving construction precision and efficiency. The chapter emphasizes the potential of artificial intelligence and machine learning to drive innovation, sustainability, and efficiency in construction projects, developing their importance in the future of the built environment.