It can teach your new household robot how to make coffee in half the time it usually takes.
They found that PIGINet significantly reduced planning time by 80 percent in simpler scenarios and 20-50 percent in more complex scenarios.
The researchers also made use of pretrained vision language models and data augmentation tricks to deal with the scarcity of good training data for the household robots.
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