{"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\/pt\/2023\/10\/open-x-embodiment-dataset-rt-x-model-a-leap-for-ai-robots\/","title":{"rendered":"Conjunto de dados aberto X-Embodiment, modelo RT-X um salto para os rob\u00f4s de IA"},"content":{"rendered":"<p><strong>A DeepMind da Google trabalhou com 33 laborat\u00f3rios acad\u00e9micos diferentes para criar um conjunto de dados de treino de IA baseado em 22 tipos de rob\u00f4s diferentes.<\/strong><\/p>\n<p>Os rob\u00f4s s\u00e3o muito bons a fazer uma coisa espec\u00edfica. Se quisermos que ele fa\u00e7a algo ligeiramente diferente, o rob\u00f4 tem de ser treinado de raiz. O objetivo final da rob\u00f3tica \u00e9 ter um rob\u00f4 que seja bom numa gama geral de ac\u00e7\u00f5es com a capacidade de aprender novas compet\u00eancias por si pr\u00f3prio.<\/p>\n<p>Para treinar um modelo de IA \u00e9 necess\u00e1rio um grande conjunto de dados relacionados com o objetivo do modelo. Modelos lingu\u00edsticos como <a href=\"https:\/\/dailyai.com\/pt\/2023\/09\/openai-reveals-new-voice-and-image-features-for-chatgpt\/\">GPT-4<\/a> s\u00e3o treinados em grandes quantidades de dados escritos. Geradores de imagens como <a href=\"https:\/\/dailyai.com\/pt\/2023\/10\/dall-e-3-ai-image-generator-available-free-on-bing-chat\/\">DALL-E 3<\/a> s\u00e3o treinados com grandes quantidades de imagens.<\/p>\n<p>Com o X-Embodiment, a DeepMind criou um conjunto de dados de ac\u00e7\u00f5es rob\u00f3ticas com base em 22 tipos diferentes de rob\u00f4s. Em seguida, utilizou esse conjunto de dados para treinar novos modelos baseados nos seus modelos rob\u00f3ticos RT-1 e RT-2.<\/p>\n<p>Os dados para a X-Embodiment foram obtidos a partir de \"22 formas de realiza\u00e7\u00e3o de rob\u00f4s, demonstrando mais de 500 compet\u00eancias e 150 000 tarefas em mais de 1 milh\u00e3o de epis\u00f3dios\", de acordo com <a href=\"https:\/\/www.deepmind.com\/blog\/scaling-up-learning-across-many-different-robot-types\" target=\"_blank\" rel=\"noopener\">Publica\u00e7\u00e3o da DeepMind<\/a>.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\" style=\"text-align: center;\">Apresentamos o \ud835\udde5\ud835\udde7-\ud835\uddeb: um modelo de IA generalista para ajudar a melhorar a forma como os robots podem aprender novas compet\u00eancias. \ud83e\udd16<\/p>\n<p>Para o treinar, estabelecemos uma parceria com 33 laborat\u00f3rios acad\u00e9micos de todo o mundo para criar um novo conjunto de dados com experi\u00eancias adquiridas com 22 tipos de rob\u00f4s diferentes.<\/p>\n<p>Para saber mais: <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 de outubro de 2023<\/a><\/p>\n<\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>Os resultados dos ensaios anteriores do RT-1 e <a href=\"https:\/\/dailyai.com\/pt\/2023\/07\/googles-ai-turns-vision-language-into-robotic-actions\/\">Modelos RT-2<\/a> j\u00e1 eram impressionantes, mas a DeepMind descobriu que as vers\u00f5es RT-X tinham um desempenho significativamente melhor devido \u00e0 natureza geral do novo conjunto de dados.<\/p>\n<p>Os testes envolveram a compara\u00e7\u00e3o de um rob\u00f4 controlado por um modelo treinado para uma tarefa espec\u00edfica com esse mesmo rob\u00f4 controlado pelo modelo RT-1-X. O RT-1-X teve um desempenho m\u00e9dio 50% melhor do que os modelos concebidos especificamente para tarefas como abrir uma porta ou passar um cabo.<\/p>\n<p>O RT-2, o modelo rob\u00f3tico de vis\u00e3o-linguagem-a\u00e7\u00e3o (VLA) da Google, permite que os rob\u00f4s aprendam a partir de dados da Web, verbais e visuais e depois actuem sem serem treinados. Quando os engenheiros treinaram o RT-2-X com o conjunto de dados X-Embodiment, descobriram que o RT-2-X tinha tr\u00eas vezes mais \u00eaxito do que o RT-2 em compet\u00eancias emergentes.<\/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 demonstra uma compreens\u00e3o das rela\u00e7\u00f5es espaciais entre objectos. Fonte: <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>Por outras palavras, o rob\u00f4 estava a aprender novas compet\u00eancias que n\u00e3o possu\u00eda antes, com base nas capacidades que outros rob\u00f4s tinham contribu\u00eddo para o conjunto de dados. A transfer\u00eancia de compet\u00eancias entre diferentes tipos de rob\u00f4s pode ser um fator de mudan\u00e7a no desenvolvimento r\u00e1pido da rob\u00f3tica.<\/p>\n<p>Estes resultados s\u00e3o motivo de otimismo, na medida em que, em breve, veremos rob\u00f4s com compet\u00eancias mais gerais, bem como a capacidade de aprender novas compet\u00eancias sem serem especificamente treinados para tal.<\/p>\n<p>A DeepMind afirma que esta investiga\u00e7\u00e3o pode ser aplicada \u00e0 propriedade de auto-aperfei\u00e7oamento do <a href=\"https:\/\/www.deepmind.com\/blog\/robocat-a-self-improving-robotic-agent\" target=\"_blank\" rel=\"noopener\">RoboCat<\/a>O sistema de intelig\u00eancia artificial para rob\u00f3tica, que se auto-aperfei\u00e7oa.<\/p>\n<p>A perspetiva de ter um rob\u00f4 que continua a melhorar e a aprender novas compet\u00eancias seria uma enorme vantagem em dom\u00ednios como a ind\u00fastria transformadora, a agricultura ou os cuidados de sa\u00fade. Essas novas compet\u00eancias poderiam igualmente ser aplicadas na <a href=\"https:\/\/dailyai.com\/pt\/2023\/10\/darpa-wants-to-use-ai-to-make-better-battlefield-decisions\/\">ind\u00fastria da defesa<\/a> o que \u00e9 talvez uma perspetiva menos apelativa, se bem que inevit\u00e1vel.<\/p>","protected":false},"excerpt":{"rendered":"<p>O DeepMind da Google trabalhou com 33 laborat\u00f3rios acad\u00e9micos diferentes para criar um conjunto de dados de treino de IA baseado em 22 tipos de rob\u00f4s diferentes. Os rob\u00f4s s\u00e3o muito bons a fazer uma coisa espec\u00edfica. Se quisermos que fa\u00e7am algo ligeiramente diferente, o rob\u00f4 tem de ser treinado de raiz. O objetivo final da rob\u00f3tica \u00e9 ter um rob\u00f4 que seja bom numa gama geral de ac\u00e7\u00f5es com a capacidade de aprender novas compet\u00eancias por si pr\u00f3prio. Para treinar um modelo de IA \u00e9 necess\u00e1rio um grande conjunto de dados relacionados com o objetivo do modelo. Os modelos lingu\u00edsticos como o GPT-4 s\u00e3o treinados<\/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\/pt\/2023\/10\/open-x-embodiment-dataset-rt-x-model-a-leap-for-ai-robots\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\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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