Egocentric capture: teaching robots to see like us

A robot arm learning to manipulate objects doesn't benefit from a photo shot across the room. It needs the view from where the action happens — the egocentric perspective of hands meeting the world.

Our VisionX program records high-fidelity first-person footage of real human tasks across manufacturing, logistics, and the home. Every clip is time-synced, annotated, and quality-graded before it enters the corpus.

The result is a dataset built for manipulation, navigation, and industrial automation — the exact modality embodied models need and the open web cannot provide.