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Natura-1 reportedly uses human hand footage to control robot hands

A post says Nature Will trained the model on 1 million hours of first-person video showing people using their hands.

1 Source, 1h ago, first seen 1h ago

TLDR

A post describes Nature Will's Natura-1 as trained on 1 million hours of first-person footage of people using their hands, then used to control real robot hands. It says the model handles fine two-handed control after a grasp, new tasks without extra training, and long sequences requiring memory and recovery from mistakes. The author argues human footage offers a faster route to scale than collecting robot demonstrations, provided the skills transfer to robot hands.

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1 Source, first seen 1h ago

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1 Source, first seen 1h ago

— likes— comments— saves— reposts

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1 Source

Rohan Paul@rohanpaul_aiThe hardest thing to give a robot is a capable pair of hands, and Natura-1, from @naturewill is a strong attempt at it. Nature Will trained their new Natura-1 on 1M hours of egocentric human data first-person video of people using their hands, then used that to control real robot hands Robot demonstrations are slow to collect, so human footage is the faster route to scale, provided the skills survive the move from human hands to robot hands. One model handles 3 things robots usually fail at together: fine 2-handed control after the grasp, new tasks without extra training, and long sequences where it has to remember earlier steps and recover from mistakes. Many robot systems show 1 of these in a narrow setting.1h
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    1 Source

    Rohan Paul@rohanpaul_aiThe hardest thing to give a robot is a capable pair of hands, and Natura-1, from @naturewill is a strong attempt at it. Nature Will trained their new Natura-1 on 1M hours of egocentric human data first-person video of people using their hands, then used that to control real robot hands Robot demonstrations are slow to collect, so human footage is the faster route to scale, provided the skills survive the move from human hands to robot hands. One model handles 3 things robots usually fail at together: fine 2-handed control after the grasp, new tasks without extra training, and long sequences where it has to remember earlier steps and recover from mistakes. Many robot systems show 1 of these in a narrow setting.1h
    Today's Rank

    #7

    Today's Rank

    #7