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We trained a humanoid with 22-DoF dexterous hands to assemble model cars, operate syringes, sort poker cards, fold/roll shirts, all learned primarily from 20,000+ hours of egocentric human video with
The post describes training a humanoid robot with dexterous hands using extensive human video data, highlighting the relationship between video volume and action prediction success.
Ema
ai-finance