AW-0 pretrained on 3,000 hours of demos, distilling 50 reusable skill programs

trevordarrell · x · 2026-10-27

Part 4/8 of the AW-0 thread: turning demonstrations into reusable skill programs. An automated annotation pipeline expresses observed manipulation as Code-as-Policies-style programs, aligns program slices with demonstration segments, and distills recurring behaviors into reusable skills. AW-0 is pretrained on roughly 3,000 hours of robot and egocentric human demonstrations with 50 reusable skills, then fine-tuned per task with the same pipeline.

Related event: AW-0 Runs at 230ms on a Single RTX 5090, Distills 50 Skills from 3,000 Hours(2 posts)→

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