Episode Details
Back to EpisodesACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining
Published 3 months, 2 weeks ago
Description
Converts 6K+ hours of mixed human/robot egocentric video into robot pseudo-actions via camera-space alignment and reliability-aware loss, achieving 72.8% on RoboCasa and 91.1% on RoboTwin.