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This invention describes a method for a robot to understand its environment. The robot takes in information from its sensors, such as images from a camera, and uses a trained computer model to process this data. It then creates an internal representation of what it has sensed and uses this to categorize or classify objects and situations it encounters.
Why it matters: The filing predates the widespread availability of efficient, smaller foundation models. These advancements make it more practical for robots to continuously update and refine their internal learning models, as described in the abstract, even with limited onboard resources.
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