{"slug":"robotics-embodied","topic":"robotics-embodied","title":"Robot Learning & Embodied AI: State of the Field (October 2026)","summary":"An expert briefing on robot learning as of late October 2026: vision-language-action (VLA) models, large-scale imitation learning, real-world reinforcement learning, sim-to-real transfer for legged and dexterous control, humanoid whole-body control, world models, evaluation and safety. The main takeaway is that generalist VLA policies, built on pretrained vision-language backbones with continuous action decoders and increasingly post-trained with reinforcement learning on real robots, now perform long-horizon household and dexterous tasks in settings not seen in training. The evidence base has not kept pace: the most-used simulated benchmark is saturated, real-robot trials are small and rarely blind, many 2026 claims are preprints or company announcements, and no certification route yet exists for learned controllers on balancing humanoids.","version":1,"published_at":"2026-10-29","updated_at":"2026-10-30","stats":{"words":6921,"citations":111,"claims":28,"timeline":20,"benchmarks":21,"open_problems":7,"key_papers":15,"glossary":19},"verification":{"status":"verified","method":"automated figure and citation-relevance triage against cited abstracts, targeted AI review with web checks of flagged statements, and a close-out pass hedging or removing unconfirmed statements; automated citation resolution","claims_checked":54,"issues_fixed":12,"verified_at":"2026-10-30"},"ai_assisted":true,"price":{"usd":"0.20","protocol":"x402","network":"eip155:84532","asset":"USDC"},"url":"https://space-kitty.com/dossiers/robotics-embodied","preview_url":"https://space-kitty.com/api/v1/dossiers/robotics-embodied/preview","purchase_url":"https://space-kitty.com/api/v1/dossiers/robotics-embodied","toc":[{"level":2,"text":"Executive summary","anchor":"executive-summary"},{"level":2,"text":"Background and core concepts","anchor":"background-and-core-concepts"},{"level":2,"text":"Timeline of key milestones","anchor":"timeline-of-key-milestones"},{"level":2,"text":"State of the art","anchor":"state-of-the-art"},{"level":3,"text":"VLA model families","anchor":"vla-model-families"},{"level":3,"text":"Data: teleoperation, human video and synthesis","anchor":"data-teleoperation-human-video-and-synthesis"},{"level":3,"text":"Scaling and transfer","anchor":"scaling-and-transfer"},{"level":3,"text":"Reinforcement learning on real robots","anchor":"reinforcement-learning-on-real-robots"},{"level":3,"text":"Locomotion and humanoid whole-body control","anchor":"locomotion-and-humanoid-whole-body-control"},{"level":3,"text":"Dexterous manipulation","anchor":"dexterous-manipulation"},{"level":3,"text":"World models and world-action models","anchor":"world-models-and-world-action-models"},{"level":3,"text":"Evaluation practice","anchor":"evaluation-practice"},{"level":3,"text":"Latency, safety layers and certification","anchor":"latency-safety-layers-and-certification"},{"level":3,"text":"Quantitative benchmarks","anchor":"quantitative-benchmarks"},{"level":2,"text":"Open problems and active debates","anchor":"open-problems-and-active-debates"},{"level":2,"text":"Major programs and players","anchor":"major-programs-and-players"},{"level":2,"text":"Outlook: what to watch (November 2026 to April 2028)","anchor":"outlook-what-to-watch-november-2026-to-april-2028"},{"level":2,"text":"Key papers","anchor":"key-papers"},{"level":2,"text":"Glossary","anchor":"glossary"}],"sample_claims":["RT-2 co-fine-tuned a web-pretrained vision-language model on robot trajectories, writing actions as text tokens, and was tested in about 6,000 trials.","The open 7-billion-parameter OpenVLA, trained on 970,000 demonstrations, beat the 55-billion-parameter RT-2-X by 16.5 points of absolute success over 29 tasks."],"includes":["markdown","claims","timeline","benchmarks","open_problems","key_papers","glossary","bibliography"],"citation_count":111,"how_to_buy":"GET https://space-kitty.com/api/v1/dossiers/robotics-embodied with an x402 client ($0.20, USDC on Base Sepolia (testnet))."}