Announcement
FACT aims to teach robots dexterous manipulation using human video and force data
A FACT developer says the model learns from 2,000 hours of force-rich human demonstrations in the EgoForce dataset.
TLDR
The people introducing FACT say human videos show how people move but leave their intended actions implicit; force data helps fill that gap. They describe FACT, short for ForceโActionโTrack, as a model that learns from 2,000 hours of force-rich human demonstrations in their EgoForce dataset, with human-like robotic dexterity as the goal.
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