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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.
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 ...”
Just gets more and more underwhelming as you dig in. Somehow these kids with lego and an iphone managed to get the state of the cube purely from vision...
Boston Dynamics would just put Aruco markers on that cube LOL. I should make one just for shits and giggles. Computer vision friendly Rubics cube... LOL
The authors suggest they could overcome the stickers on the cube / Giiker sensors with some kind of memory-augmented vision model such as an attention augmented CNN or CNN features passed into LSTM
Wow guys, thanks for digging into this. Unfortunately the ‘OMG’, ‘Skynet’, and ‘Deep state will use this’-people will never read this. The trough of disillusionment will be deep and equipped with concrete flooring with spikes.
AFAIK, Bluetooth sensing was only for debugging. I think you guys under evaluate the effort here.
Yes. But how do you propose to solve this problem using a hybrid solution? You think that adding GOFAI to DL will do any good?
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