This describes a way to automatically set up a robot that inspects surfaces. The robot has a computer brain that looks at the path it needs to take and then figures out the best way to arrange its inspection tools, like what kind of sensors to use and how far apart they should be. The claims narrow this to a robot with several separate tool-carrying sections, each with a movable arm, and multiple sleds that touch the surface.
Why it matters: Filed before the widespread adoption of advanced AI for real-time robotic path planning and dynamic sensor configuration. Machine learning algorithms can now more effectively interpret complex route data to optimize inspection parameters on the fly.
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