Data & Benchmarks
Episode Format
Episode Format is the on-disk schema used to store robot interaction episodes, specifying how time-aligned streams of camera frames, proprioception, actions, language annotations, and metadata are serialized. Common choices include RLDS built on TFRecords, used by Open X-Embodiment, HDF5 layouts popularized by robomimic, and the LeRobot format, which stores video-compressed frames with tabular data. Formats trade random-access speed, compression, and streaming behavior against tooling compatibility.
Why it matters for physical AI
Format fragmentation is a real tax on the field: pooling datasets across labs and training on mixtures requires costly conversion, so converging on standard episode schemas accelerates every downstream effort.
Related terms
Build physical AI
Put these concepts to work on real hardware
Axol is a dual-arm robot built for physical AI — teleoperate it, collect demonstrations, and deploy learned policies out of the box.