Observed arrival · 2026-10-13
Rayform’s proposed record of the physical world
Rayform presents a licensed 4D dataset of real-world scenes and motion intended for training robot perception, navigation, and manipulation models.
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- Teams training embodied AI and robot models
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- The described corpus aligns RGB, depth, LiDAR, and trajectories in a shared physical coordinate system.
Field notes
The page lays out a capture-to-training workflow: field recordings are time-stamped, registered into shared coordinate frames, deduplicated, and labeled. Its examples range from kitchens to factories and mines; the listed interaction labels include grasps, placements, doors, drawers, and tools. Rayform says batches can be requested by scene, object, action, or condition, but the dataset itself is behind a private-preview waitlist.
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