{"artifact":{"id":"art-inner-monologue-20220712","canonical_url":"https://arxiv.org/abs/2207.05608","artifact_type":"paper_preprint","title":"Inner Monologue","summary":"The paper showed language-model planning that incorporates environment and human feedback for closed-loop replanning in simulated and real robotic tasks.","creator_entities":["Google Research and collaborators"],"released_at":"2022-07-12T15:20:48.000Z","content_hash":null,"metadata":{"historical_scope":"2022-Q3"},"created_at":"2026-10-02T16:08:16.234Z","updated_at":"2026-10-02T16:08:16.234Z"},"sources":[{"id":"src-arxiv-inner-monologue-20220712","name":"Inner Monologue: Embodied Reasoning through Planning with Language Models","publisher":"arXiv","url":"https://arxiv.org/abs/2207.05608","source_type":"paper_preprint","primary_or_secondary":"primary","retrieved_at":"2026-10-02T15:12:29.000Z","published_at":"2022-07-12T15:20:48.000Z","author":"Wenlong Huang et al.","metadata":{"language":"en","jurisdiction":"global","time_precision":"second"},"created_at":"2026-10-02T16:08:16.223Z","updated_at":"2026-10-02T16:08:16.223Z"}]}