[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-mosaic-teaches-robots-to-plan-around-what-they-can-actually-do":10,"sections":40},{"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":30,"tags":31,"sources":35,"feedback":39,"feedback_at":22,"cost_usd":39,"total_tokens":39},4106,"mosaic-teaches-robots-to-plan-around-what-they-can-actually-do","MOSAIC Teaches Robots to Plan Around What They Can Actually Do","A new planner maps where each robot skill is likely to succeed, then chains those zones together to solve long tasks without symbolic brittle rules.","A robotics planning system called MOSAIC reframes long-horizon manipulation by asking which skills will work where, not just which skills exist.\n\nDeveloped by researchers and detailed in a new paper, MOSAIC uses physics simulation to identify what the authors call \"islands of competence\" — regions of a task where a given skill reliably executes. Two complementary components handle the work: Generators map those high-confidence zones, while Connectors stitch the resulting trajectories together by solving boundary value problems between them. The system works with a heterogeneous skill set that includes diffusion models, motion planning algorithms, and manipulation-specific models — meaning it is not locked to any single control paradigm. Tests ran in both simulation and on physical hardware across complex, multi-step tasks.\n\nMost planners either search a combinatorially large space of skill sequences and get lost, or compress the problem into symbolic representations that are faster to search but brittle and expensive to hand-engineer. MOSAIC sidesteps both traps by grounding planning in simulation-estimated outcomes, letting the robot focus effort where success is actually probable. For robotics labs trying to get general-purpose arms to handle novel tasks without per-task programming, that is a meaningful shift in approach.\n\nThe catch, as with most sim-to-real robotics work, is whether physics simulation stays accurate enough to trust when skills interact in unexpected ways — a gap the paper demonstrates progress on but does not fully close.","[\"robotics\",\"planning\",\"ai\",\"manipulation\"]","2026-07-07T04:00:00.000Z","2026-07-07T17:23:43.789Z","2026-07-07T17:23:46.572Z","published",null,[24],{"id":25,"reviewer":26,"round":27,"reason":28,"status":29},"editor-r1","editor",1,"The headline and dek are vague and read as working placeholders rather than publication-ready copy — 'Knowing What They Are Good At' is informal paraphrase, not a finished headline; rewrite the title and dek to state the mechanism and significance with specificity (e.g. what problem MOSAIC solves that existing planners cannot, at what scale or task type).","resolved","ai",[32,33,30,34],"robotics","planning","manipulation",[36],{"name":37,"url":38},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2504.16738",0,{"sections":41},[42,46,51,56,61,66,71,76,81,85,90,94,99,104],{"name":43,"slug":30,"count":44,"latest_published_at":45},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":47,"slug":48,"count":49,"latest_published_at":50},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":52,"slug":53,"count":54,"latest_published_at":55},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":57,"slug":58,"count":59,"latest_published_at":60},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":62,"slug":63,"count":64,"latest_published_at":65},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":67,"slug":68,"count":69,"latest_published_at":70},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":72,"slug":73,"count":74,"latest_published_at":75},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":77,"slug":78,"count":79,"latest_published_at":80},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":82,"slug":83,"count":84,"latest_published_at":18},"Dev Tools","dev-tools",59,{"name":86,"slug":87,"count":88,"latest_published_at":89},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":91,"slug":92,"count":88,"latest_published_at":93},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":105,"slug":106,"count":107,"latest_published_at":108},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]