{"id":11403,"date":"2026-10-02T18:32:13","date_gmt":"2026-10-02T18:32:13","guid":{"rendered":"https:\/\/daazlabs.com\/runway-introduces-praxis-1-world-action-model-for-robotics\/"},"modified":"2026-10-02T18:32:13","modified_gmt":"2026-10-02T18:32:13","slug":"runway-introduces-praxis-1-world-action-model-for-robotics","status":"publish","type":"post","link":"https:\/\/daazlabs.com\/pt\/runway-introduces-praxis-1-world-action-model-for-robotics\/","title":{"rendered":"Runway introduces Praxis-1 world action model for robotics"},"content":{"rendered":"<p>Runway said it is testing Praxis-1 on a variety of embodiments and environments to identify and close potential gaps before moving to general availability. | Source: Runway Runway AI Inc. this week introduced Praxis-1, an open-weight world action model that turns Runway&#8217;s video pretraining into control for robots. The company said it built Praxis-1 on the same large-scale video pretraining behind its general world models. &#8220;Most robot policies are bottlenecked by robot data, which is scarce and expensive to collect,&#8221; Kamil Sindi, Runway&#8217;s chief technology officer, told The Robot Report. &#8220;Praxis-1 learns mostly from third-person video, built on the same large-scale pretraining behind Runway&#8217;s world models, so it already understands how objects behave and how tasks unfold. &#8220;Also, performance improves&#8230;<\/p>\n<hr>\n<p><em>Source: <a href=\"https:\/\/www.therobotreport.com\/runway-introduces-praxis-1-world-action-model-robotics\/\" target=\"_blank\" rel=\"noopener noreferrer\">The Robot Report<\/a><\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>Runway said it is testing Praxis-1 on a variety of embodiments and environments to identify and close potential gaps before moving to general availability. | Source: Runway Runway AI Inc. this week introduced Praxis-1, an open-weight world action model that turns Runway&#8217;s video pretraining into control for robots. The company said it built Praxis-1 on [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":11404,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[63],"tags":[],"class_list":["post-11403","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-robot"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/posts\/11403","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/comments?post=11403"}],"version-history":[{"count":0,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/posts\/11403\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/media\/11404"}],"wp:attachment":[{"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/media?parent=11403"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/categories?post=11403"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/tags?post=11403"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}