33.15. Global Trends in Robotics Standards for Civil Engineering

• Promotes automation in all construction stages • Mandates UAV data submission for public works compliance • Uses ML-based systems for quality assurance certification

Japan’s i-Construction model is an initiative that encourages the use of automation across various stages of construction projects. This includes everything from planning to execution. One key aspect is the requirement for Unmanned Aerial Vehicles (UAVs), or drones, to submit data that ensures construction activities comply with public works standards. Furthermore, this model employs machine learning (ML) systems to certify the quality of construction, which helps to maintain high standards while also using technology to improve efficiency.

Imagine building a new bridge. In Japan, instead of relying solely on human inspectors, drones fly overhead to collect data on the bridge's construction, checking for compliance with regulations. The data collected is analyzed by ML algorithms that help ensure every aspect meets strict quality standards, making the inspection process faster and more accurate.

• Horizon Europe program funds construction robotics R&D • Emphasizes AI regulation (AI Act 2025) for civil infrastructure • Countries adopting national extensions of ISO 10218 and ISO 45001

The European Union is actively promoting research and development in construction robotics through the Horizon Europe program, which provides funding for innovative technologies. An important focus is on integrating artificial intelligence (AI) regulations, specifically through the AI Act of 2025, to ensure that AI systems used in civil infrastructure are safe and effective. Additionally, several EU countries are adopting their own versions of international standards such as ISO 10218 (safety of industrial robots) and ISO 45001 (occupational health and safety) to ensure compliance and safety in their specific contexts.

Think of the Horizon Europe program as a scholarship for innovations in building and construction. Just like students apply for scholarships to pursue their educational goals, researchers and companies apply for funding to develop cutting-edge robotics technology. Meanwhile, the AI regulations are like a set of guidelines ensuring that all students (in this case, AI systems) play fair and are thoroughly prepared before they are allowed into the classroom (the construction site).

• ANSI/RIA R15.06 aligned with ISO 10218 • OSHA involved in safety framework design • Growing emphasis on robot ethics and machine learning explainability

In the United States, the evolution of robotics standards has been significantly influenced by partnerships with organizations like ANSI (American National Standards Institute) and RIA (Robotic Industries Association). The standard ANSI/RIA R15.06 is designed to align with the international ISO 10218 standard, ensuring a consistent safety framework for industrial robots. Simultaneously, OSHA (Occupational Safety and Health Administration) plays a crucial role in designing these safety frameworks, helping to protect workers in environments where robots are used. There's also an increasing emphasis on the ethical implications of robotics and AI, particularly in making sure that machine learning algorithms are understandable and can be explained, which is crucial for trust and transparency.

Imagine a recipe book for cooking, where every dish needs to follow certain guidelines. In the U.S., the standards for robotics are like a comprehensive cookbook ensuring that every robotic application not only tastes good (works effectively) but also meets safety requirements (doesn't make anyone sick). OSHA is like the food safety inspector that ensures each recipe is safe to serve, while the discussions about ethics remind us that every cook should explain how they made their dish, ensuring transparency and accountability in how robots operate.

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