Robot Uses Social Feedback to Fetch Objects Intelligently

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    Profile photo of Michael Morguarge
    Michael Morguarge
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    Brown University, 3/6/2017

    Brown’s Humans to Robots Lab has developed an algorithm to reduce the errors a robot makes when it fetches an object. The robot asks questions and draws inferences from the answers, to make the correct decision on what object to fetch. The goal is to make robots more helpful to humans.

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