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Robotics and automation are closely related but distinct fields. Robotics focuses on the design, construction, operation, and application of robots, particularly for tasks that are difficult or dangerous for humans.
Predictive maintenance (PdM) uses advanced technologies such as robotics and data analytics to foresee equipment failures before they happen. This proactive approach, essential in civil engineering, enhances safety, optimizes maintenance, and extends the lifespan of infrastructure. The chapter explores the various roles of robotics, sensors, and IoT in PdM, presenting case studies and future trends that emphasize the integration of these technologies in smart cities and construction.
The chapter discusses the revolutionary impact of Artificial Intelligence (AI) on civil engineering, emphasizing its capacity to refine decision-making processes throughout infrastructure projects. It covers various AI technologies, their applications in decision-making models, data sources, and the integration of AI with traditional systems like BIM and GIS. Additionally, challenges and future directions are highlighted, showcasing AI's transformative potential in enhancing efficiency and sustainability in civil engineering practices.
The chapter emphasizes the significance of regulations and standards in the application of robotics within civil engineering. It outlines national and international frameworks that ensure safe and efficient integration of robotic systems while addressing ethical, legal, and regulatory challenges. Key aspects include safety compliance, interoperability, and the evolution of standards to accommodate advancements in technology.
The integration of automation and robotics into civil engineering has transformed efficiency and safety, but it also raises critical ethical issues. Key areas of concern include labor displacement, accountability, bias in algorithms, and environmental impact. A focus on ethical practices is essential for engineers to navigate these challenges responsibly.
The chapter delves into the crucial intersection of liability and safety standards in the context of robotics and automation within civil engineering. It outlines legal frameworks, types of liability, risk assessment techniques, compliance with safety standards, and the ethical implications of autonomous systems. Furthermore, it emphasizes the importance of integrating safety protocols into engineering practices to minimize risks and ensure public safety.