ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining

from Embodied AI 101 · host Shaoqing Tan

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.

Episode metadata supplied by the publisher feed · Published Jun 24, 2026

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ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining

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