arXiv cs.AI
· Papers
EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data
arXiv:2607.08436v1 Announce Type: cross Abstract: Egocentric human data offers scalable supervision for robot manipulation. However, behavior cloning entangles transferable content like objects, scenes, and task semantics, with non-transferable factors like human morphology, head motion, and behavioral style. We study