Pipe Turn

Pipe-related research spans diverse applications, focusing on improving inspection, maintenance, and rehabilitation techniques for various pipe types (water, gas, subsea). Current efforts involve developing autonomous robots for internal pipe inspection and repair, utilizing advanced sensors, computer vision, and machine learning for tasks such as defect detection, mapping, and even autonomous navigation in complex pipe geometries. These advancements aim to enhance efficiency, safety, and cost-effectiveness in infrastructure management, particularly for aging or inaccessible pipelines. The development of robust data processing and analysis methods, including deep learning for image analysis and efficient pipeline design, are also key areas of focus.