From Video Review to Measurement: Building Better Robot Data QC

Automating the quality control of robot training videos is crucial, as manually reviewing massive datasets for errors is impossible. Simply asking a large vision model to give a general "pass" or "reject" verdict on a video is ineffective, as this broad question leads to either missing rare failures or creating too many false alarms. A far more successful