{"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\/de\/2023\/10\/open-x-embodiment-dataset-rt-x-model-a-leap-for-ai-robots\/","title":{"rendered":"Offener X-Embodiment-Datensatz, RT-X-Modell als Sprungbrett f\u00fcr KI-Roboter"},"content":{"rendered":"<p><strong>DeepMind von Google arbeitete mit 33 verschiedenen akademischen Labors zusammen, um einen KI-Trainingsdatensatz zu erstellen, der auf 22 verschiedenen Robotertypen basiert.<\/strong><\/p>\n<p>Roboter sind wirklich gut darin, eine bestimmte Aufgabe zu erf\u00fcllen. Wenn er etwas auch nur ann\u00e4hernd anderes tun soll, muss der Roboter von Grund auf trainiert werden. Das ultimative Ziel f\u00fcr die Robotik ist ein Roboter, der eine Reihe von Handlungen gut ausf\u00fchren kann und in der Lage ist, selbst\u00e4ndig neue F\u00e4higkeiten zu erlernen.<\/p>\n<p>Um ein KI-Modell zu trainieren, ben\u00f6tigen Sie einen gro\u00dfen Datensatz mit Daten, die dem Zweck des Modells entsprechen. Sprachmodelle wie <a href=\"https:\/\/dailyai.com\/de\/2023\/09\/openai-reveals-new-voice-and-image-features-for-chatgpt\/\">GPT-4<\/a> werden anhand gro\u00dfer Mengen schriftlicher Daten trainiert. Bildgeneratoren wie <a href=\"https:\/\/dailyai.com\/de\/2023\/10\/dall-e-3-ai-image-generator-available-free-on-bing-chat\/\">DALL-E 3<\/a> werden auf gro\u00dfen Mengen von Bildern trainiert.<\/p>\n<p>Mit X-Embodiment hat DeepMind einen Datensatz von Roboteraktionen auf der Grundlage von 22 verschiedenen Robotertypen erstellt. Anhand dieses Datensatzes wurden dann neue Modelle trainiert, die auf den Robotermodellen RT-1 und RT-2 basieren.<\/p>\n<p>Die Daten f\u00fcr X-Embodiment wurden von \"22 Roboterausf\u00fchrungen abgeleitet, die mehr als 500 F\u00e4higkeiten und 150.000 Aufgaben in mehr als 1 Million Episoden demonstrieren\", so <a href=\"https:\/\/www.deepmind.com\/blog\/scaling-up-learning-across-many-different-robot-types\" target=\"_blank\" rel=\"noopener\">DeepMinds Beitrag<\/a>.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\" style=\"text-align: center;\">Wir stellen \ud835\udde5\ud835\udde7-\ud835\uddeb vor: ein generalistisches KI-Modell, das Robotern beim Erlernen neuer F\u00e4higkeiten helfen soll. \ud83e\udd16<\/p>\n<p>Um ihn zu trainieren, haben wir uns mit 33 akademischen Labors in aller Welt zusammengetan, um einen neuen Datensatz mit den Erfahrungen von 22 verschiedenen Robotertypen zu erstellen.<\/p>\n<p>Erfahren Sie mehr: <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>Die fr\u00fcheren Testergebnisse des RT-1 und des <a href=\"https:\/\/dailyai.com\/de\/2023\/07\/googles-ai-turns-vision-language-into-robotic-actions\/\">RT-2 Modelle<\/a> waren bereits beeindruckend, aber DeepMind stellte fest, dass die RT-X-Versionen aufgrund der allgemeinen Natur des neuen Datensatzes deutlich besser abschnitten.<\/p>\n<p>Bei den Tests wurde ein Roboter, der von einem f\u00fcr eine bestimmte Aufgabe trainierten Modell gesteuert wurde, mit demselben Roboter verglichen, der von dem Modell RT-1-X gesteuert wurde. RT-1-X schnitt im Durchschnitt 50% besser ab als die Modelle, die speziell f\u00fcr Aufgaben wie das \u00d6ffnen einer T\u00fcr oder das Verlegen eines Kabels entwickelt wurden.<\/p>\n<p>RT-2, das VLA-Robotermodell (Vision-Language-Action) von Google, erm\u00f6glicht es Robotern, aus Web-, verbalen und visuellen Daten zu lernen und dann ohne Training zu handeln. Als die Ingenieure RT-2-X mit dem X-Embodiment-Datensatz trainierten, stellten sie fest, dass RT-2-X dreimal so erfolgreich war wie RT-2, was aufkommende F\u00e4higkeiten angeht.<\/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 zeigt ein Verst\u00e4ndnis f\u00fcr r\u00e4umliche Beziehungen zwischen Objekten. Quelle: <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>Mit anderen Worten: Der Roboter lernte neue F\u00e4higkeiten, die er vorher nicht hatte, und zwar auf der Grundlage von F\u00e4higkeiten, die andere Roboter zum Datensatz beigesteuert hatten. Die \u00dcbertragung von F\u00e4higkeiten zwischen verschiedenen Robotertypen k\u00f6nnte die schnelle Entwicklung der Robotik entscheidend vorantreiben.<\/p>\n<p>Diese Ergebnisse stimmen optimistisch, dass wir bald Roboter sehen werden, die \u00fcber allgemeinere F\u00e4higkeiten verf\u00fcgen und in der Lage sind, neue F\u00e4higkeiten zu erlernen, ohne speziell daf\u00fcr ausgebildet zu werden.<\/p>\n<p>DeepMind sagt, dass diese Forschung auf die Eigenschaft der Selbstverbesserung von <a href=\"https:\/\/www.deepmind.com\/blog\/robocat-a-self-improving-robotic-agent\" target=\"_blank\" rel=\"noopener\">RoboCat<\/a>sein selbstverbessernder KI-Agent f\u00fcr die Robotik.<\/p>\n<p>Die Aussicht auf einen Roboter, der sich st\u00e4ndig verbessert und neue F\u00e4higkeiten erlernt, w\u00e4re ein gro\u00dfer Vorteil in Bereichen wie der Fertigung, der Landwirtschaft oder dem Gesundheitswesen. Diese neuen F\u00e4higkeiten k\u00f6nnten auch in den folgenden Bereichen eingesetzt werden <a href=\"https:\/\/dailyai.com\/de\/2023\/10\/darpa-wants-to-use-ai-to-make-better-battlefield-decisions\/\">Verteidigungsindustrie<\/a> was vielleicht eine weniger verlockende, wenn auch unvermeidliche Aussicht ist.<\/p>","protected":false},"excerpt":{"rendered":"<p>DeepMind von Google arbeitete mit 33 verschiedenen akademischen Labors zusammen, um einen KI-Trainingsdatensatz zu erstellen, der auf 22 verschiedenen Robotertypen basiert. Roboter sind wirklich gut darin, eine bestimmte Aufgabe zu erf\u00fcllen. Wenn sie etwas auch nur ann\u00e4hernd anderes tun sollen, muss der Roboter von Grund auf neu trainiert werden. Das ultimative Ziel f\u00fcr die Robotik ist ein Roboter, der eine Reihe von Aktionen gut beherrscht und in der Lage ist, neue F\u00e4higkeiten selbst\u00e4ndig zu erlernen. Um ein KI-Modell zu trainieren, ben\u00f6tigt man einen gro\u00dfen Datensatz mit Daten, die dem Zweck des Modells entsprechen. Sprachmodelle wie GPT-4 werden trainiert<\/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\/de\/2023\/10\/open-x-embodiment-dataset-rt-x-model-a-leap-for-ai-robots\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\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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