Robots can learn how to find things faster by learning how different objects around the house are related, according to work from the University of Michigan. A new model provides robots with a visual search strategy that can teach them to look for a coffee pot nearby if they're already in sight of a refrigerator, in one of the paper's examples.
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Model helps robots think more like humans when searching for objects
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