{"artifact":{"id":"art-saycan-20220404","canonical_url":"https://arxiv.org/abs/2204.01691","artifact_type":"paper_preprint","title":"Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","summary":"The SayCan paper combined language-model high-level task proposals with learned robotic skill affordances and demonstrated completion of long-horizon natural-language instructions on a real mobile manipulator.","creator_entities":["Google Research","Everyday Robots"],"released_at":"2022-04-04T17:57:11.000Z","content_hash":null,"metadata":{"historical_scope":"2022-Q2"},"created_at":"2026-10-01T19:22:17.740Z","updated_at":"2026-10-01T19:22:17.740Z"},"sources":[{"id":"src-arxiv-saycan-20220404","name":"Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","publisher":"arXiv","url":"https://arxiv.org/abs/2204.01691","source_type":"paper_preprint","primary_or_secondary":"primary","retrieved_at":"2026-10-01T18:14:00.000Z","published_at":"2022-04-04T17:57:11.000Z","author":"Michael Ahn et al.","metadata":{"language":"en","jurisdiction":"global","time_precision":"second"},"created_at":"2026-10-01T19:22:17.725Z","updated_at":"2026-10-01T19:22:17.725Z"}]}