{"id":6839,"date":"2023-10-04T06:28:47","date_gmt":"2023-10-04T06:28:47","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2023\/10\/04\/scaling-up-learning-across-many-different-robot-types\/"},"modified":"2023-10-04T06:28:47","modified_gmt":"2023-10-04T06:28:47","slug":"scaling-up-learning-across-many-different-robot-types","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2023\/10\/04\/scaling-up-learning-across-many-different-robot-types\/","title":{"rendered":"Scaling up learning across many different robot types"},"content":{"rendered":"<p>Author: <\/p>\n<div>We are launching a new set of resources for general-purpose robotics learning across different robot types, or embodiments. Together with partners from 34 academic labs we have pooled data from 22 different robot types to create the Open X-Embodiment dataset. We also release RT-1-X, a robotics transformer (RT) model derived from RT-1 and trained on our dataset, that shows skills transfer across many robot embodiments.<\/div>\n<p><a href=\"https:\/\/www.deepmind.com\/blog\/scaling-up-learning-across-many-different-robot-types\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: We are launching a new set of resources for general-purpose robotics learning across different robot types, or embodiments. Together with partners from 34 academic [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2023\/10\/04\/scaling-up-learning-across-many-different-robot-types\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":462,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[24],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/6839"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=6839"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/6839\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/468"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=6839"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=6839"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=6839"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}