{"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\/nl\/2023\/10\/open-x-embodiment-dataset-rt-x-model-a-leap-for-ai-robots\/","title":{"rendered":"Open X-Embodiment-dataset, RT-X-model een sprong voorwaarts voor AI-robots"},"content":{"rendered":"<p><strong>Google's DeepMind werkte samen met 33 verschillende academische laboratoria om een AI-trainingsdataset te maken op basis van 22 verschillende robottypes.<\/strong><\/p>\n<p>Robots zijn heel goed in het doen van \u00e9\u00e9n specifiek ding. Als je wilt dat de robot ook maar iets anders doet, moet hij helemaal opnieuw worden getraind. Het uiteindelijke doel voor robotica is om een robot te hebben die goed is in een algemene reeks handelingen met de mogelijkheid om zelf nieuwe vaardigheden te leren.<\/p>\n<p>Om een AI-model te trainen heb je een grote dataset nodig met gegevens die gerelateerd zijn aan het doel van het model. Taalmodellen zoals <a href=\"https:\/\/dailyai.com\/nl\/2023\/09\/openai-reveals-new-voice-and-image-features-for-chatgpt\/\">GPT-4<\/a> worden getraind op grote hoeveelheden geschreven gegevens. Beeldgeneratoren zoals <a href=\"https:\/\/dailyai.com\/nl\/2023\/10\/dall-e-3-ai-image-generator-available-free-on-bing-chat\/\">DALL-E 3<\/a> worden getraind op grote hoeveelheden afbeeldingen.<\/p>\n<p>Met X-Embodiment heeft DeepMind een dataset gemaakt van robotacties gebaseerd op 22 verschillende soorten robots. Vervolgens heeft DeepMind die dataset gebruikt om nieuwe modellen te trainen op basis van zijn RT-1 en RT-2 robotmodellen.<\/p>\n<p>De gegevens voor X-Embodiment waren afkomstig van \"22 robotimodimenten, die meer dan 500 vaardigheden en 150.000 taken demonstreerden in meer dan 1 miljoen afleveringen\", volgens <a href=\"https:\/\/www.deepmind.com\/blog\/scaling-up-learning-across-many-different-robot-types\" target=\"_blank\" rel=\"noopener\">DeepMind's bericht<\/a>.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\" style=\"text-align: center;\">Maak kennis met \ud835\udde5\ud835\udde7-\ud835\uddeb: een generalistisch AI-model om robots te helpen nieuwe vaardigheden te leren. \ud83e\udd16<\/p>\n<p>Om het te trainen zijn we een samenwerking aangegaan met 33 academische laboratoria over de hele wereld om een nieuwe dataset op te bouwen met ervaringen die zijn opgedaan met 22 verschillende soorten robots.<\/p>\n<p>Lees meer: <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 eerdere testresultaten van de RT-1 en <a href=\"https:\/\/dailyai.com\/nl\/2023\/07\/googles-ai-turns-vision-language-into-robotic-actions\/\">RT-2 modellen<\/a> waren al indrukwekkend, maar DeepMind ontdekte dat de RT-X versies aanzienlijk beter presteerden door de algemene aard van de nieuwe dataset.<\/p>\n<p>Bij het testen werd een robot bestuurd door een model dat getraind was voor een specifieke taak vergeleken met diezelfde robot bestuurd door het RT-1-X model. RT-1-X presteerde gemiddeld 50% beter dan de modellen die specifiek waren ontworpen voor taken zoals het openen van een deur of het leiden van een kabel.<\/p>\n<p>RT-2, Google's vision-language-action (VLA) robotmodel, stelt robots in staat om te leren van web-, verbale en visuele gegevens en vervolgens te handelen zonder getraind te worden. Toen technici RT-2-X trainden met de X-Embodiment dataset ontdekten ze dat RT-2-X drie keer zo succesvol was als RT-2 voor nieuwe vaardigheden.<\/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 toont begrip van ruimtelijke relaties tussen objecten. Bron: <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>Met andere woorden, de robot leerde nieuwe vaardigheden die hij voorheen niet had, gebaseerd op vaardigheden die andere robots hadden bijgedragen aan de dataset. De overdracht van vaardigheden tussen verschillende soorten robots zou een game-changer kunnen zijn voor de snelle ontwikkeling van robotica.<\/p>\n<p>Deze resultaten geven reden tot optimisme dat we binnenkort robots zullen zien met meer algemene vaardigheden en het vermogen om nieuwe vaardigheden te leren zonder dat ze er specifiek voor getraind zijn.<\/p>\n<p>DeepMind zegt dat dit onderzoek kan worden toegepast op de zelfverbeterende eigenschap van <a href=\"https:\/\/www.deepmind.com\/blog\/robocat-a-self-improving-robotic-agent\" target=\"_blank\" rel=\"noopener\">RoboCat<\/a>, zijn zelfverbeterende AI-agent voor robotica.<\/p>\n<p>Het vooruitzicht om een robot te hebben die zich blijft verbeteren en nieuwe vaardigheden blijft leren, zou een enorm voordeel zijn op gebieden zoals productie, landbouw of gezondheidszorg. Deze nieuwe vaardigheden zouden ook kunnen worden toegepast in de <a href=\"https:\/\/dailyai.com\/nl\/2023\/10\/darpa-wants-to-use-ai-to-make-better-battlefield-decisions\/\">defensie-industrie<\/a> wat misschien een minder aantrekkelijk, maar onvermijdelijk vooruitzicht is.<\/p>","protected":false},"excerpt":{"rendered":"<p>Google's DeepMind werkte samen met 33 verschillende academische laboratoria om een AI-trainingsdataset te maken op basis van 22 verschillende robottypes. Robots zijn erg goed in het doen van \u00e9\u00e9n specifiek ding. Als je wilt dat ze ook maar iets anders doen, moet de robot helemaal opnieuw worden getraind. Het uiteindelijke doel voor robotica is om een robot te hebben die goed is in een algemene reeks handelingen met de mogelijkheid om zelf nieuwe vaardigheden te leren. Om een AI-model te trainen heb je een grote dataset nodig met gegevens die gerelateerd zijn aan het doel van het model. Taalmodellen zoals GPT-4 worden getraind<\/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\/nl\/2023\/10\/open-x-embodiment-dataset-rt-x-model-a-leap-for-ai-robots\/\" \/>\n<meta property=\"og:locale\" content=\"nl_NL\" \/>\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. Robots are really good at doing one specific thing. If you want it to do something even slightly different, the robot needs to be trained from scratch. The ultimate goal for robotics is to have a robot that is good at a general range of actions with the ability to learn new skills by itself. To train an AI model you need a large dataset of data related to the purpose of the model. 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