Open Egocentric Data Lowers Barriers for Robot Learning
Smartphone capture and a modular processing toolchain turn 2,000 hours of human manipulation video into structured supervision for embodied models.
Jul 29, 20265 min2607.14183
2 articles on SOTA Papers
Smartphone capture and a modular processing toolchain turn 2,000 hours of human manipulation video into structured supervision for embodied models.
A 680-hour human-annotated benchmark combines multilingual, dialect, accent, domain, and age stress tests across ASR and speech translation.
