[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-anybody-lets-robots-take-motion-cues-from-any-body-keypoint":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},2668,"anybody-lets-robots-take-motion-cues-from-any-body-keypoint","AnyBody Lets Robots Take Motion Cues from Any Body Keypoint","A new humanoid controller ditches full-body motion capture requirements, letting robots respond to whatever keypoints are available at deploy time.","A robotics research paper proposes a humanoid controller that works with whatever body tracking data you have on hand, not a complete skeleton.\n\nThe system, called AnyBody, trains a single motion model that can accept any subset of body keypoints — a few joints, a full skeleton, or anything in between — and still produce coordinated whole-body movement. Prior approaches either demanded expensive full-body motion capture or split upper- and lower-body control into separate systems, which tends to break down when a robot needs to move its legs and arms together. AnyBody addresses this with a teacher-student training pipeline: a privileged \"teacher\" model trained on a large motion corpus gets distilled into a leaner student model, and a transformer encoder with masked self-attention handles whatever keypoints arrive at inference time. A lightweight residual layer then handles task-specific fine-tuning without retraining the core model.\n\nThe practical upshot is that humanoid robots could be steered from partial or variable sensor data — useful for teleoperation scenarios where not every joint is tracked, or for deploying across different hardware setups. The researchers demonstrate locomotion, obstacle reaching, and in-air writing, which together suggest the system handles both coarse movement and fine motor tasks.\n\nMost humanoid control research is still fighting the data bottleneck — full-body motion capture is slow and expensive to produce at scale. AnyBody's masked keypoint approach borrows a page from how masked language models handle missing tokens, and if it holds up outside the lab, it could make scalable robot policy learning considerably less painful.","[\"robotics\",\"humanoid\",\"motion-capture\",\"ai\"]","2026-06-30T04:00:00.000Z","2026-06-30T10:33:40.871Z","2026-06-30T10:33:43.822Z","published",null,[],"ai",[26,27,28,24],"robotics","humanoid","motion-capture",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.29209",0,{"sections":35},[36,40,45,50,55,60,65,70,75,80,85,89,94,99],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Dev Tools","dev-tools",59,"2026-07-07T04:00:00.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":86,"slug":87,"count":83,"latest_published_at":88},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]