[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-pact-wam-cuts-robot-visual-processing-costs-by-75-percent":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},6697,"pact-wam-cuts-robot-visual-processing-costs-by-75-percent","PACT-WAM Cuts Robot Visual Processing Costs by 75 Percent","A new robot control model predicts its next moves and previews their visual outcome together, using far less computation than typical approaches.","PACT-WAM is a new robot control model that plans its next 16 actions and simulates what the world will look like as a result, without the usual computational overhead.\n\nThe system, described in a paper posted to arXiv, compresses a robot's recent visual history using a hierarchical scheme: older frames get coarse representations, recent ones get finer detail, adding up to just 256 tokens per camera view across 16 retained observations - 75% fewer tokens than standard dense encoding. A shared flow-based module then generates a 16-step action sequence and a matching visual forecast together, using separate output heads for actions and images under causal attention. A decoder reconstructs the predicted future frames from multiple camera angles. On its own, PACT-WAM hit average success rates of 98.6% on the LIBERO benchmark, 92.3% on RoboTwin 2.0, and 78.0% on real-world tasks with a Piper robot arm. Adding an optional review step, where a vision-language model screens the forecasts and rejects bad plans before execution, pushed those numbers to 99.5%, 93.4%, and 86.7%.\n\nRobots that preview the consequences of an action before taking it tend to make fewer mistakes, but storing and processing that visual foresight is expensive - which is why many manipulation systems skip it or pay for it with slower inference. PACT-WAM's bet is that compressing history unevenly, more detail for recent frames and less for older ones, keeps most of the benefit of foresight at a quarter of the token cost. That is the kind of efficiency gain that determines whether foresight-based planning ever runs on a robot's own hardware instead of a data center.\n\nThe real-world number is the one to watch: 78% success climbing to 86.7% with review is solid, but it still trails the near-perfect scores the model racks up in simulation, a reminder that the gap between a benchmark and a warehouse floor has not closed yet.","[\"robotics\",\"robot manipulation\",\"world models\"]","2026-09-17T04:00:00.000Z","2026-09-18T06:36:55.374Z","2026-09-18T06:37:07.318Z","published",null,[],"ai",[26,27,28],"robotics","robot manipulation","world models",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2602.15882",0,{"sections":35},[36,40,44,49,54,58,62,67,72,76,81,86,91,96],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",3852,"2026-09-17T08:27:09.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":18},"Security","security",648,{"name":45,"slug":46,"count":47,"latest_published_at":48},"Policy","policy",338,"2026-09-11T04:00:00.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":18},"Hardware","hardware",154,{"name":59,"slug":60,"count":61,"latest_published_at":18},"Science","science",114,{"name":63,"slug":64,"count":65,"latest_published_at":66},"Consumer Tech","consumer-tech",99,"2026-09-09T17:27:33.000Z",{"name":68,"slug":69,"count":70,"latest_published_at":71},"Software","software",75,"2026-09-10T20:41:21.000Z",{"name":73,"slug":74,"count":75,"latest_published_at":18},"Dev Tools","dev-tools",73,{"name":77,"slug":78,"count":79,"latest_published_at":80},"Startups","startups",55,"2026-09-09T23:14:29.000Z",{"name":82,"slug":83,"count":84,"latest_published_at":85},"Gaming","gaming",43,"2026-09-10T12:18:06.000Z",{"name":87,"slug":88,"count":89,"latest_published_at":90},"General","general",41,"2026-09-08T01:57:23.000Z",{"name":92,"slug":93,"count":94,"latest_published_at":95},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":97,"slug":98,"count":99,"latest_published_at":100},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]