The dexterity part is also slighly misleading. Note this robotic hand has led markers at finger tips. There is a set of cameras which localize these fingers in space very precisely. So it is really only the policy of turning the cube given perfect information that is learned.
somewhat misleading but wildly retweeted characterization of new @OpenAI result. the system is (very impressively) trained to do the perception and manual dexterity parts, but cube solving algorithm itself is innate, and symbolic, not acquired via training.https://twitter.com/OpenAI/status/1184135128869527552 …
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and let’s not forget bluetooth on board the cube! “Sensing state of a Rubik’s cube from vision only is a challenging task. We therefore use a “smart” Rubik’s cube with built-in sensors and a Bluetooth module ...”
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Rubiks cube solving is innate for *some* people, but most can't figure it out from scratch.
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no it is not innate for any person; only for machines like this one.
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Curious to know if something like SATNet could learn to solve Rubik’s? https://arxiv.org/abs/1905.12149 by
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If the size or shape of the cube were different or even if the squares had different patterns instead of color; that would be challenging. I dont think they claim that it learns how to solve the problem, rather it learns how to manipulate the cube to assist a solution.
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And the hand size/finger length are just perfect for this exercise! Biggest bias in there is the aesthetics of the fingers moves.
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I was wonder about that.
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Ever feel like you’re being put on?
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