{"id":35677,"date":"2025-05-20T14:20:51","date_gmt":"2025-05-20T06:20:51","guid":{"rendered":"https:\/\/www.1ai.net\/?p=35677"},"modified":"2025-05-20T14:20:51","modified_gmt":"2025-05-20T06:20:51","slug":"%e8%8b%b1%e4%bc%9f%e8%be%be%e5%8f%91%e5%b8%83-gr00t-n1-5-%e4%ba%ba%e5%bd%a2%e6%9c%ba%e5%99%a8%e4%ba%ba-ai%e5%9f%ba%e7%a1%80%e6%a8%a1%e5%9e%8b%ef%bc%8c%e9%bb%84%e4%bb%81%e5%8b%8b%e7%a7%b0%e5%b0%86","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/35677.html","title":{"rendered":"NVIDIA Releases GR00T N1.5 Humanoid Robot AI Base Model, Jen-Hsun Huang Says It Will Drive \"Next-Generation Industrial Revolution\""},"content":{"rendered":"<p>May 20, 2012 - At Computex Taipei 2025, the<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%8b%b1%e4%bc%9f%e8%be%be\" title=\"Look at the article with the label\" target=\"_blank\" >Nvidia<\/a>Chief Executive Officer<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e9%bb%84%e4%bb%81%e5%8b%8b\" title=\"Look at the article with the label\" target=\"_blank\" >Jen-Hsun Huang<\/a>Announcing a significant expansion of its robotics development infrastructure.<strong>roll out<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e4%ba%ba%e5%bd%a2%e6%9c%ba%e5%99%a8%e4%ba%ba\" title=\"[View articles tagged with [humanoid robot]]\" target=\"_blank\" >Humanoid Robot<\/a>A new version of the base model, Isaac GR00T N1.5, is described as \"a core building block for the next generation of the industrial revolution\".<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-35678\" title=\"8f4c1be2j00swjqwt00c8d000v900g1p\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/05\/8f4c1be2j00swjqwt00c8d000v900g1p.jpg\" alt=\"8f4c1be2j00swjqwt00c8d000v900g1p\" width=\"1125\" height=\"577\" \/><\/p>\n<p>The highlight of the model is the dramatically improved training efficiency. While traditional manual data collection usually takes nearly three months, the new model generates synthetic data through the GR00T-Dreams tool, and the development of a new version can be shortened to 36 hours, which significantly alleviates the data bottleneck that constrains the development of humanoid robots.<\/p>\n<p>1AI cites a blog post that describes how GR00T-Dreams works in an ingenious way: by first fine-tuning the Cosmos Predict world model for a specific robot, it can generate multi-environment task demo videos from just a single image, and extract \"action tokens\" for training.<\/p>\n<p>THIS \"AI GENERATION OF AI TRAINING DATA\" MODEL ALLOWS ROBOTS TO LEARN NEW BEHAVIOUR WITHOUT RELYING ON TIME-CONSUMING AND LABORIOUS PHYSICAL TESTING. N1.5 MODELS HAVE BEEN MEASURED TO BE SIGNIFICANTLY UPGRADED IN TERMS OF NEW ENVIRONMENTAL ADAPTATION, WORKSPACE CONFIGURATION AND COMMAND RECOGNITION\u3002<\/p>\n<p>Boston Dynamics, Agility Robotics, Foxconn and other headline companies have now accessed the NVIDIA Isaac platform. In order to support the development needs, NVIDIA synchronously launched Cosmos Reason world model, Isaac Sim 5.0 open source simulation tools, and jointly launched RTX PRO 6000 workstations with Cisco, Dell and other manufacturers.<\/p>","protected":false},"excerpt":{"rendered":"<p>May 20, 2012 - At Computex Taipei 2025, NVIDIA CEO Jen-Hsun Huang announced a significant expansion of its robotics development infrastructure with the launch of a new version of the humanoid robotics base model, Isaac GR00T N1.5, which he called \"the core building block of the next-generation industrial revolution\". The highlight of the model is a dramatic increase in training efficiency. While traditional manual data collection typically takes nearly three months, the new model generates synthetic data through the GR00T-Dreams tool, which reduces development of the new version to 36 hours, significantly alleviating the data bottleneck that constrains humanoid robot development. According to a blog post cited by 1AI, GR00T-Dreams works in an ingenious way: Cosmos is first fine-tuned for a specific robot.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[6676,907,239,1342],"collection":[],"class_list":["post-35677","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-907","tag-239","tag-1342"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/35677","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=35677"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/35677\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=35677"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=35677"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=35677"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=35677"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}