What Should an AI Inspection Robot Show Before It Calls Something a Fault?

What Should an AI Inspection Robot Show Before It Calls Something a Fault? A robot dog spots a hot motor in the back of a plant. The useful part is not that it found an ‘anomaly.’ It is whether the maintenance tech can tell what changed before walking across the site—or shutting down a line. Avnet and Weston Robot announced a quadruped inspection platform that patrols defined routes, processes camera, thermal, and 3D lidar data onboard, and can flag hotspots, fluid leaks, PPE issues, and abnormal equipment even when cloud connectivity is limited. The launch says it can deliver actionable insights. It does not show what an alert contains or how those alerts performed in a working facility. I’d want the alert to open on the exact inspection point, with the ordinary visual frame beside the thermal frame, the time, and the last normal reading. Then one plain status: machine still running, robot holding nearby, or area already handed to a named person. If the camera was dirty or the ‘leak’ was yesterday’s cleanup, the worker should be able to mark that once and see whether the next patrol catches the difference. A dashboard full of red dots still leaves the inspection to a person. What would you need to see before trusting the robot enough to act?