EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World

ArXi:2604.07607v1 Announce Type: cross Robot learning increasingly depends on large and diverse data, yet robot data collection remains expensive and difficult to scale. Egocentric human data offer a promising alternative by capturing rich manipulation behavior across everyday environments. However, existing human datasets are often limited in scope, difficult to extend, and fragmented across institutions. We