[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-new-routing-algorithm-cuts-warehouse-robot-delays-by-63":10,"sections":35},{"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":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},6338,"new-routing-algorithm-cuts-warehouse-robot-delays-by-63","New Routing Algorithm Cuts Warehouse Robot Delays by 63%","HiRAD, a new hierarchical RL routing system, cuts warehouse robot task times by up to 63 percent while meeting real-time constraints.","A new routing system lets warehouses run bigger fleets of robots without the traffic jams.\n\nResearchers describe HiRAD, a hierarchical reinforcement-learning framework for routing large fleets of automatic guided vehicles (AGVs) through continuous space rather than a fixed grid. The system splits each robot's decision into two layers - one that picks a heading and one that controls velocity - which shrinks the range of choices the model has to evaluate at every step. An asynchronous, event-driven pipeline processes those decisions only when needed, which the paper says cuts per-step inference complexity from quadratic to linear and reduces latency by as much as 71 percent. Tested on random graphs and two warehouse maps, HiRAD cut makespan, the time to finish all deliveries, by 45 to 63 percent.\n\nWarehouse robots are only useful if they don't collide or gridlock as fleets scale, and that's exactly where older approaches break down. Classical pathfinding solvers choke on the combinatorics of large fleets and assume idealized grid movement that doesn't match how a real AGV turns and brakes. Prior reinforcement-learning attempts fixed the kinematics problem but needed millions of training episodes and full-map observation at every step, making them too slow for real-time control.\n\nThe gains are real on paper, but the source doesn't name the baselines behind that 45-to-63-percent margin, so treat the numbers as promising rather than proven until independent benchmarks show up.","[\"agv\",\"reinforcement-learning\",\"warehouse-robotics\",\"logistics\"]","2026-09-11T04:00:00.000Z","2026-09-11T07:10:47.016Z","2026-09-11T07:10:58.928Z","published",null,[],"ai",[26,27,28,29],"agv","reinforcement-learning","warehouse-robotics","logistics",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.09752",0,{"sections":36},[37,40,44,48,53,58,63,66,71,75,80,85,90,95],{"name":38,"slug":24,"count":39,"latest_published_at":18},"AI",3521,{"name":41,"slug":42,"count":43,"latest_published_at":18},"Security","security",637,{"name":45,"slug":46,"count":47,"latest_published_at":18},"Policy","policy",338,{"name":49,"slug":50,"count":51,"latest_published_at":52},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":54,"slug":55,"count":56,"latest_published_at":57},"Hardware","hardware",153,"2026-09-09T15:12:32.000Z",{"name":59,"slug":60,"count":61,"latest_published_at":62},"Consumer Tech","consumer-tech",99,"2026-09-09T17:27:33.000Z",{"name":64,"slug":65,"count":61,"latest_published_at":18},"Science","science",{"name":67,"slug":68,"count":69,"latest_published_at":70},"Software","software",75,"2026-09-10T20:41:21.000Z",{"name":72,"slug":73,"count":74,"latest_published_at":18},"Dev Tools","dev-tools",70,{"name":76,"slug":77,"count":78,"latest_published_at":79},"Startups","startups",55,"2026-09-09T23:14:29.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Gaming","gaming",43,"2026-09-10T12:18:06.000Z",{"name":86,"slug":87,"count":88,"latest_published_at":89},"General","general",41,"2026-09-08T01:57:23.000Z",{"name":91,"slug":92,"count":93,"latest_published_at":94},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":96,"slug":97,"count":98,"latest_published_at":99},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]