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EgoAlign: Bridging the Human-Humanoid Gap for Long-Range Loco-Manipulation
Egocentric human demonstrations offer an accessible source of task experience, but differences in body scale and controller response, together with missing robot states, limit their value as humanoid training supervision. We present EgoAlign, a data-construction framework that converts these demonst
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