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Robotics US 20,260,021,580 A1 Under examination

Anomaly detection in latent space representations of robot movements

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.

Status
Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build
SpecializedMachine learning models, robot integration, software logic.

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