{"event":{"id":"evt-openx-20231003","dedupe_key":"cross_embodiment_robotics_release:2023-10-03:open-x-embodiment-and-rt-x-released","event_type":"cross_embodiment_robotics_release","title":"Open X-Embodiment and RT-X released","summary":"DeepMind and partners released a dataset spanning 22 robot types and RT-X models.","occurred_at":"2023-10-03T00:00:00.000Z","published_at":"2023-10-03T00:00:00.000Z","observed_at":"2026-10-08T15:42:00.000Z","reconstructed_at":"2026-10-08T15:50:00.000Z","ingest_type":"live_world_scan","locations":null,"status":"verified","confidence":0.99,"metadata":{"actors":["Google DeepMind","33 academic labs"],"what_happened_at_time":"DeepMind and partners released a dataset spanning 22 robot types and RT-X models.","evidence_at_time":"The DeepMind release reports data pooled by 33 labs across 22 robot types.","affected_layers":["layer-robotics","layer-research","layer-models","layer-open-source"],"change_kind":"cross_embodiment_robotics","q3_continuity":"Q3 RT-2 linked semantic representations to robot action.","retrospective_inference":"Q4 adds shared learning across multiple embodiments.","uncertainty":"Cross-robot transfer remained bounded research."},"created_at":"2026-10-08T17:00:00.111Z","updated_at":"2026-10-08T17:00:00.111Z"},"artifacts":[{"id":"art-openx-20231003","dedupe_key":"44d255976f8bee3f6c563454af28ceea5649fb273613653b0a66ff568b76838c","canonical_url":"https://deepmind.google/blog/scaling-up-learning-across-many-different-robot-types/","evidence_locator":"","artifact_type":"cross_embodiment_robotics_release","title":"Open X-Embodiment and RT-X","summary":"Data from 22 robot embodiments and RT-X models were released to study cross-robot transfer.","creator_entities":["Google DeepMind and 33 academic labs"],"released_at":"2023-10-03T00:00:00.000Z","content_hash":null,"metadata":{"historical_scope":"2023-Q4"},"created_at":"2026-10-08T17:00:00.098Z","updated_at":"2026-10-08T17:00:00.098Z","relation":"evidenced_by"}],"signals":[{"id":"sig-q4-cross-embodiment-robotics","statement":"Robot-learning data and policies began scaling across many physical embodiments through shared datasets and cross-robot policy training.","signal_type":"cross_embodiment_robotics","direction":"increasing","confidence":0.97,"epistemic_status":"supported_inference","mapping_mode":"retrospective","reconstructed_at":"2026-10-08T15:50:00.000Z","created_at":"2026-10-08T17:00:00.125Z","updated_at":"2026-10-08T17:00:00.125Z"}]}