EgoSteer: A Full-Stack System Towards Steerable Dexterous Manipulation from Egocentric Videos

arXiv:2607.09701v1 Announce Type: new Abstract: Steerability is a defining capability of generalist robot policies, yet remains largely absent in dexterous-hand systems for lack of large-scale, language-aligned, and action-accurate demonstration data. To address this bottleneck, we present a full-stack system that scales dexterous VLA pre-training from egocentric human videos and enables data-efficient real-robot post-training. It integrates EgoSmith, a data pipeline that curates in-the-wild ego...