AtomEgo: Exploring Ego-Robot Integration for Embodied Foundation Model Pretraining
AtomEgo is presented, a systematic study of ego--robot co-training supported by a curated corpus of approximately 2,659 hours and a scalable data processing pipeline that reveals a simple principle: Data Scale * Alignment Quality -->Capability Gain; egocentric data can improve generalization, but their value depends on...
Di Wu, Dong-Chen Zheng, Jun-He Sheng et al.
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