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.
Long-horizon trajectories, domain teachers, and routed on-policy distillation produce 56.4 on SEAL-0 and 80.6 on IFBench.
