{"id":6133,"date":"2023-10-05T12:53:51","date_gmt":"2023-10-05T12:53:51","guid":{"rendered":"https:\/\/dailyai.com\/?p=6133"},"modified":"2023-10-05T12:53:51","modified_gmt":"2023-10-05T12:53:51","slug":"open-x-embodiment-dataset-rt-x-model-a-leap-for-ai-robots","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2023\/10\/open-x-embodiment-dataset-rt-x-model-a-leap-for-ai-robots\/","title":{"rendered":"Open X-Embodiment dataset, RT-X-modell ett steg fram\u00e5t f\u00f6r AI-robotar"},"content":{"rendered":"<p><strong>Googles DeepMind samarbetade med 33 olika akademiska laboratorier f\u00f6r att skapa ett AI-tr\u00e4ningsdataset baserat p\u00e5 22 olika robottyper.<\/strong><\/p>\n<p>Robotar \u00e4r v\u00e4ldigt bra p\u00e5 att g\u00f6ra en specifik sak. Om du vill att den ska g\u00f6ra n\u00e5got som bara \u00e4r lite annorlunda m\u00e5ste roboten tr\u00e4nas upp fr\u00e5n grunden. Det ultimata m\u00e5let f\u00f6r robotteknik \u00e4r att ha en robot som \u00e4r bra p\u00e5 en rad olika saker och som har f\u00f6rm\u00e5gan att l\u00e4ra sig nya saker p\u00e5 egen hand.<\/p>\n<p>F\u00f6r att tr\u00e4na en AI-modell beh\u00f6ver du ett stort dataset med data som \u00e4r relaterade till modellens syfte. Spr\u00e5kmodeller som <a href=\"https:\/\/dailyai.com\/sv\/2023\/09\/openai-reveals-new-voice-and-image-features-for-chatgpt\/\">GPT-4<\/a> tr\u00e4nas p\u00e5 stora m\u00e4ngder skriven data. Bildgeneratorer som <a href=\"https:\/\/dailyai.com\/sv\/2023\/10\/dall-e-3-ai-image-generator-available-free-on-bing-chat\/\">DALL-E 3<\/a> tr\u00e4nas p\u00e5 stora m\u00e4ngder bilder.<\/p>\n<p>Med X-Embodiment har DeepMind skapat ett dataset med robothandlingar baserat p\u00e5 22 olika typer av robotar. Sedan anv\u00e4ndes datasetet f\u00f6r att tr\u00e4na nya modeller baserade p\u00e5 robotmodellerna RT-1 och RT-2.<\/p>\n<p>Uppgifterna f\u00f6r X-Embodiment h\u00e4rr\u00f6rde fr\u00e5n \"22 robotf\u00f6rkroppsliganden som demonstrerade mer \u00e4n 500 f\u00e4rdigheter och 150.000 uppgifter i mer \u00e4n 1 miljon episoder\", enligt <a href=\"https:\/\/www.deepmind.com\/blog\/scaling-up-learning-across-many-different-robot-types\" target=\"_blank\" rel=\"noopener\">DeepMinds inl\u00e4gg<\/a>.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\" style=\"text-align: center;\">Vi presenterar \ud835\udde5\ud835\udde7-\ud835\uddeb: en generalistisk AI-modell som hj\u00e4lper till att utveckla hur robotar kan l\u00e4ra sig nya f\u00e4rdigheter. \ud83e\udd16<\/p>\n<p>F\u00f6r att tr\u00e4na den samarbetade vi med 33 akademiska laboratorier \u00f6ver hela v\u00e4rlden f\u00f6r att bygga upp ett nytt dataset med erfarenheter fr\u00e5n 22 olika robottyper.<\/p>\n<p>Ta reda p\u00e5 mer om detta: <a href=\"https:\/\/t.co\/k6tE62gQGP\">https:\/\/t.co\/k6tE62gQGP<\/a> <a href=\"https:\/\/t.co\/IXTy2g4Lty\">pic.twitter.com\/IXTy2g4Lty<\/a><\/p>\n<p style=\"text-align: center;\">- Google DeepMind (@GoogleDeepMind) <a href=\"https:\/\/twitter.com\/GoogleDeepMind\/status\/1709207886943965648?ref_src=twsrc%5Etfw\">3 oktober 2023<\/a><\/p>\n<\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>De tidigare testresultaten f\u00f6r RT-1 och <a href=\"https:\/\/dailyai.com\/sv\/2023\/07\/googles-ai-turns-vision-language-into-robotic-actions\/\">RT-2 modeller<\/a> var redan imponerande, men DeepMind fann att RT-X-versionerna presterade betydligt b\u00e4ttre p\u00e5 grund av den nya datasetets allm\u00e4nna karakt\u00e4r.<\/p>\n<p>Testerna innebar att en robot som styrdes av en modell som tr\u00e4nats f\u00f6r en specifik uppgift j\u00e4mf\u00f6rdes med samma robot som styrdes av RT-1-X-modellen. RT-1-X presterade i genomsnitt 50% b\u00e4ttre \u00e4n de modeller som utformats specifikt f\u00f6r uppgifter som att \u00f6ppna en d\u00f6rr eller dra en kabel.<\/p>\n<p>RT-2, Googles VLA-robotmodell (vision-language-action), g\u00f6r det m\u00f6jligt f\u00f6r robotar att l\u00e4ra sig fr\u00e5n webbdata, verbala och visuella data och sedan agera utan att tr\u00e4nas. N\u00e4r ingenj\u00f6rerna tr\u00e4nade RT-2-X med X-Embodiment-datasetet fann de att RT-2-X var tre g\u00e5nger s\u00e5 framg\u00e5ngsrik som RT-2 n\u00e4r det g\u00e4llde framv\u00e4xande f\u00e4rdigheter.<\/p>\n<figure id=\"attachment_6135\" aria-describedby=\"caption-attachment-6135\" style=\"width: 640px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-6135 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/RT-2-X-demonstration.gif\" alt=\"\" width=\"640\" height=\"360\" \/><figcaption id=\"caption-attachment-6135\" class=\"wp-caption-text\">RT-2-X visar f\u00f6rst\u00e5else f\u00f6r rumsliga relationer mellan objekt. K\u00e4lla: <a href=\"https:\/\/www.deepmind.com\/blog\/scaling-up-learning-across-many-different-robot-types\" target=\"_blank\" rel=\"noopener\">DeepMind<\/a><\/figcaption><\/figure>\n<p>Med andra ord l\u00e4rde sig roboten nya f\u00e4rdigheter som den inte hade haft tidigare, baserat p\u00e5 f\u00f6rm\u00e5gor som andra robotar hade bidragit med till datasetet. \u00d6verf\u00f6ring av f\u00e4rdigheter mellan olika typer av robotar skulle kunna vara en \"game-changer\" f\u00f6r snabb robotutveckling.<\/p>\n<p>Dessa resultat ger anledning till optimism om att vi snart kommer att f\u00e5 se robotar med mer generella f\u00e4rdigheter samt f\u00f6rm\u00e5gan att l\u00e4ra sig nya f\u00e4rdigheter utan att vara specifikt utbildade f\u00f6r dem.<\/p>\n<p>DeepMind s\u00e4ger att denna forskning skulle kunna till\u00e4mpas p\u00e5 sj\u00e4lvf\u00f6rb\u00e4ttringsegenskapen hos <a href=\"https:\/\/www.deepmind.com\/blog\/robocat-a-self-improving-robotic-agent\" target=\"_blank\" rel=\"noopener\">RoboCat<\/a>, dess sj\u00e4lvf\u00f6rb\u00e4ttrande AI-agent f\u00f6r robotteknik.<\/p>\n<p>M\u00f6jligheten att ha en robot som forts\u00e4tter att f\u00f6rb\u00e4ttras och l\u00e4ra sig nya f\u00e4rdigheter skulle vara en enorm f\u00f6rdel inom omr\u00e5den som tillverkning, jordbruk och sjukv\u00e5rd. Dessa nya f\u00e4rdigheter skulle ocks\u00e5 kunna till\u00e4mpas i <a href=\"https:\/\/dailyai.com\/sv\/2023\/10\/darpa-wants-to-use-ai-to-make-better-battlefield-decisions\/\">f\u00f6rsvarsindustrin<\/a> vilket kanske \u00e4r ett mindre tilltalande, om \u00e4n oundvikligt, perspektiv.<\/p>","protected":false},"excerpt":{"rendered":"<p>Googles DeepMind samarbetade med 33 olika akademiska laboratorier f\u00f6r att skapa ett AI-tr\u00e4ningsdataset baserat p\u00e5 22 olika robottyper. Robotar \u00e4r v\u00e4ldigt bra p\u00e5 att g\u00f6ra en specifik sak. Om du vill att den ska g\u00f6ra n\u00e5got som bara \u00e4r lite annorlunda m\u00e5ste roboten tr\u00e4nas fr\u00e5n grunden. Det ultimata m\u00e5let f\u00f6r robotteknik \u00e4r att ha en robot som \u00e4r bra p\u00e5 en rad olika saker och som har f\u00f6rm\u00e5gan att l\u00e4ra sig nya saker p\u00e5 egen hand. F\u00f6r att tr\u00e4na en AI-modell beh\u00f6ver du ett stort dataset med data som \u00e4r relaterade till modellens syfte. Spr\u00e5kmodeller som GPT-4 tr\u00e4nas<\/p>","protected":false},"author":6,"featured_media":6136,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[147,102,105,169],"class_list":["post-6133","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-deepmind","tag-google","tag-machine-learning","tag-robotics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Open X-Embodiment dataset, RT-X model a leap for AI robots | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/sv\/2023\/10\/open-x-embodiment-dataset-rt-x-model-a-leap-for-ai-robots\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Open X-Embodiment dataset, RT-X model a leap for AI robots | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Google\u2019s DeepMind worked with 33 different academic labs to create an AI training dataset based on 22 different robot types. 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