SemExp, or Goal-Oriented Semantic Exploration, uses machine learning to train a robot to recognize objects and understand where in a home they are likely to be found.
A robot travelling from point A to point B is more efficient if it understands that point A is the living room couch and point B is a refrigerator, even if it’s in an unfamiliar place. That’s the common sense idea behind a “semantic” navigation system developed by Carnegie Mellon University and Facebook AI Research (FAIR).
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