[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-robossm-uses-state-space-models-to-teach-robots-new-tricks":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},1795,"robossm-uses-state-space-models-to-teach-robots-new-tricks","RoboSSM Uses State-Space Models to Teach Robots New Tricks","A new open-source framework swaps Transformers for state-space models to let robots learn tasks from a few demos without retraining.","Robots that learn from a handful of examples just got a more efficient backbone.\n\nResearchers have released RoboSSM, a framework for in-context imitation learning that ditches the Transformer architecture in favor of state-space models (SSMs) — specifically a model called Longhorn. The key claim: SSMs run inference in linear time and handle longer input sequences better than Transformers, which tend to degrade when test-time prompts are longer than what the model saw during training. On the LIBERO robotics benchmark, RoboSSM outperformed Transformer-based approaches on both unseen tasks and longer-horizon tasks. Code is public on GitHub.\n\nThis matters because in-context imitation learning is one of the more practical paths to flexible robots — no retraining required at deployment, just feed in a few demonstrations and go. The Transformer bottleneck at long contexts is a real wall, and if SSMs genuinely clear it, that opens the door to more complex, multi-step task prompts without ballooning compute costs.\n\nSSMs have already made headway in language modeling as a leaner alternative to Transformers, so applying them to robotics is a logical extension — though benchmark results on LIBERO, a controlled simulation suite, still leave open how well any of this holds up on physical hardware in messier real-world settings.","[\"robotics\",\"machine-learning\",\"ai\",\"open-source\"]","2026-06-19T04:00:00.000Z","2026-06-19T12:07:05.227Z","2026-06-19T14:22:19.473Z","published",null,[],"ai",[26,27,24,28],"robotics","machine-learning","open-source",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2509.19658",0,{"sections":35},[36,40,44,49,54,59,64,68,72,77,82,87,92,97],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",491,"2026-06-19T14:59:11.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":18},"Security","security",132,{"name":45,"slug":46,"count":47,"latest_published_at":48},"Policy","policy",88,"2026-06-16T09:26:09.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Consumer Tech","consumer-tech",78,"2026-06-16T17:58:24.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Hardware","hardware",62,"2026-06-18T15:24:16.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":63},"Deals","deals",58,"2026-06-19T14:43:50.000Z",{"name":65,"slug":66,"count":62,"latest_published_at":67},"Software","software","2026-06-16T20:00:00.000Z",{"name":69,"slug":70,"count":71,"latest_published_at":18},"Dev Tools","dev-tools",50,{"name":73,"slug":74,"count":75,"latest_published_at":76},"Science","science",38,"2026-06-18T04:00:00.000Z",{"name":78,"slug":79,"count":80,"latest_published_at":81},"Gaming","gaming",31,"2026-06-16T15:25:13.000Z",{"name":83,"slug":84,"count":85,"latest_published_at":86},"General","general",26,"2026-06-13T18:35:15.000Z",{"name":88,"slug":89,"count":90,"latest_published_at":91},"Startups","startups",23,"2026-06-16T15:00:00.000Z",{"name":93,"slug":94,"count":95,"latest_published_at":96},"Reviews","reviews",19,"2026-06-14T08:00:00.000Z",{"name":98,"slug":99,"count":100,"latest_published_at":101},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]