Google taps computer vision to improve robot manipulation performance

In apreprint paper, a Google and MIT team investigate whether pre-trained visual representations can be used to improve a robot’s object manipulation performance. They say that their proposed technique — affordance-based manipulation — can enable robots to learn to pick andgraspobjects in less than 10 minutes of trial and error, which could lay the groundwork for highly…
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Relationship between Artificial Intelligence, Machine Learning and Data Science

Capitalizing on AI to minimize on energy in minimalist living