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This invention describes a computer program designed to understand what's in an environment and how sure it is about that information. It takes observations, processes them, and then calculates how uncertain those observations are by using a special function that has learned from past data. This uncertainty estimate is primarily used to help mobile robots predict and avoid collisions.
Why it matters: The past two years have seen continuous advancements in deep learning for real-time perception and uncertainty quantification. This, combined with the increasing deployment of autonomous mobile robots, makes robust collision risk assessment more critical and feasible to implement accurately.
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