Take Ten-Thousand: Egocentric Data Collection for Humanoid Robots

NVIDIA EgoScale project collects first-person video data for 20,854 hours from 1000 participants by installing cameras on their foreheads and wrists to train humanoid robot hand skills; this new method, called 'ego-centric data collection', marks the third generation of humanoid robot data collection, aiming to solve the fatigue, cost, and accuracy problems of traditional remote operation and isomorphic exoskeleton methods.