This invention describes a software system designed to spot unusual behavior in robots. It works by first teaching the system what normal movement looks like for a robot, creating a digital 'map' of its typical actions. Then, when monitoring another robot (or the same one later), the system checks if its current movements fall outside the established normal patterns on that map, flagging anything unusual.
Why it matters: While filed recently, the continuous advancements in machine learning frameworks and specialized hardware for edge computing are making real-time robotic anomaly detection more efficient and accessible.
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