Design of an in-pipe inspection robotic system (IPIRS) with YOLOv8–LSTM integration for real-time in-pipe navigation
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A robotic system for inspecting pipes is being developed with integrated technologies for real-time navigation. The system's design may incorporate multiple sensors and machine learning models, such as YOLOv8 and LSTM, to facilitate adaptive inspection. Experimental validation of a modular crawler robot for pipeline inspection has been reported, although the specifics of its design and capabilities are not entirely clear.