AnyWorld: Factorized Egocentric World Models for Cross-Embodiment Generalization
技术动态
来源：arXiv cs.RO发布时间待核实
arXiv:2608.29242v2 Announce Type: replace Abstract: Collecting contact-rich robot experiences at scale remains a major bottleneck for generalizable manipulation. Beyond data quantity, robot learning also requires diverse experiences across embodiments, viewpoints, and scenes. Human egocentric videos provide abundant physical interactions, but each video captures only a narrow slice of experience under a single body, camera trajectory, and environment.