{"event":{"id":"evt-robocat-20230620","dedupe_key":"robotics_agent_research:2023-06-20:deepmind-publishes-robocat","event_type":"robotics_agent_research","title":"DeepMind publishes RoboCat","summary":"A multi-task, multi-embodiment robotics system capable of adapting to new tasks and generating additional trajectories for later retraining.","occurred_at":"2023-06-20T00:00:00.000Z","published_at":"2023-06-20T00:00:00.000Z","observed_at":"2026-10-07T12:39:09.000Z","reconstructed_at":"2026-10-07T12:55:58.000Z","ingest_type":"live_world_scan","locations":null,"status":"verified","confidence":0.97,"metadata":{"actors":["Google DeepMind"],"affected_layers":["layer-robotics","layer-agents","layer-models","layer-research"],"change_kind":"robot_training_loop_maturation","what_happened_at_time":"A multi-task, multi-embodiment robotics system capable of adapting to new tasks and generating additional trajectories for later retraining.","evidence_at_time":"The contemporaneous primary source 'RoboCat: A self-improving robotic agent' documents this Q2 event.","q1_continuity":"Q1 is the canonical predecessor; this record stores only the supported Q2 delta.","retrospective_inference":"Interpretation is limited to evidence supportable by 2023-06-30.","uncertainty":"Bounded research loop, not autonomous recursive self-improvement."},"created_at":"2026-10-07T14:04:48.602Z","updated_at":"2026-10-07T14:04:48.602Z"},"artifacts":[{"id":"art-robocat-20230620","canonical_url":"https://deepmind.google/blog/robocat-a-self-improving-robotic-agent","artifact_type":"robotics_agent_research","title":"RoboCat","summary":"A multi-task, multi-embodiment robotics system capable of adapting to new tasks and generating additional trajectories for later retraining.","creator_entities":["Google DeepMind"],"released_at":"2023-06-20T00:00:00.000Z","content_hash":null,"metadata":{"historical_scope":"2023-Q2","guardrail":"Bounded robotics training loop, not autonomous recursive self-improvement."},"created_at":"2026-10-07T14:04:48.589Z","updated_at":"2026-10-07T14:04:48.589Z","relation":"evidenced_by"}],"signals":[{"id":"sig-q2-robot-self-generated-training","statement":"Robotics research began using newly generated experience as part of iterative multi-task, multi-embodiment training loops, while remaining bounded research rather than autonomous self-improvement.","signal_type":"robot_training_loop_maturation","direction":"increasing","confidence":0.94,"epistemic_status":"supported_inference","mapping_mode":"retrospective","reconstructed_at":"2026-10-07T12:55:58.000Z","created_at":"2026-10-07T14:04:48.606Z","updated_at":"2026-10-07T14:04:48.606Z"}]}