<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Nvidia Isaac GR00T Archives - Gizmochina</title>
	<atom:link href="https://www.gizmochina.com/tag/nvidia-isaac-gr00t/feed/" rel="self" type="application/rss+xml" />
	<link>https://www.gizmochina.com/tag/nvidia-isaac-gr00t/</link>
	<description>Latest Tech News, Product Reviews and Deals</description>
	<lastBuildDate>Mon, 01 Jun 2026 08:46:04 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=5.9.9</generator>
	<item>
		<title>Why Nvidia&#8217;s H2+ Humanoid Robot Has the Tech World Talking</title>
		<link>https://www.gizmochina.com/2026/06/01/nvidia-h2-plus-humanoid-robot-global-robotics-push/</link>
		
		<dc:creator><![CDATA[Joane]]></dc:creator>
		<pubDate>Mon, 01 Jun 2026 08:45:13 +0000</pubDate>
				<category><![CDATA[AI News]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[AI robots]]></category>
		<category><![CDATA[H2+ robot]]></category>
		<category><![CDATA[humanoid robots]]></category>
		<category><![CDATA[Nvidia H2+]]></category>
		<category><![CDATA[Nvidia humanoid robot]]></category>
		<category><![CDATA[Nvidia Isaac GR00T]]></category>
		<category><![CDATA[Nvidia Jetson AGX Thor T5000]]></category>
		<category><![CDATA[Sharpa Wave hands]]></category>
		<category><![CDATA[Unitree H2 Plus]]></category>
		<guid isPermaLink="false">https://www.gizmochina.com/?p=740603</guid>

					<description><![CDATA[<img width="300" height="211" src="https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-300x211.png?x23692" class="webfeedsFeaturedVisual wp-post-image" alt="Nvidia robot" style="display: block; margin: auto; margin-bottom: 5px;max-width: 100%;" link_thumbnail="" srcset="https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-300x211.png 300w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-768x539.png 768w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-696x489.png 696w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-598x420.png 598w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-100x70.png 100w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5.png 842w" sizes="(max-width: 300px) 100vw, 300px" /><p>Nvidia has announced a major step forward in humanoid robotics with the launch of the H2+ reference robot platform, developed in partnership with China’s Unitree Robotics and Singapore-based Sharpa. The announcement was made by Nvidia CEO Jensen Huang during his Computex 2026 keynote in Taipei. The project is attracting industry attention because it combines advanced [&#8230;]</p>
<p>The post <a rel="nofollow" href="https://www.gizmochina.com/2026/06/01/nvidia-h2-plus-humanoid-robot-global-robotics-push/">Why Nvidia&#8217;s H2+ Humanoid Robot Has the Tech World Talking</a> appeared first on <a rel="nofollow" href="https://www.gizmochina.com">Gizmochina</a>.</p>
]]></description>
										<content:encoded><![CDATA[<img width="300" height="211" src="https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-300x211.png?x23692" class="webfeedsFeaturedVisual wp-post-image" alt="Nvidia robot" loading="lazy" style="display: block; margin: auto; margin-bottom: 5px;max-width: 100%;" link_thumbnail="" srcset="https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-300x211.png 300w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-768x539.png 768w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-696x489.png 696w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-598x420.png 598w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-100x70.png 100w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5.png 842w" sizes="(max-width: 300px) 100vw, 300px" />
<p>Nvidia has announced a major step forward in humanoid robotics with the launch of the H2+ reference robot platform, developed in partnership with China’s Unitree Robotics and Singapore-based Sharpa. The announcement was made by Nvidia CEO Jensen Huang during his Computex 2026 keynote in Taipei.</p>



<p>The project is attracting industry attention because it combines advanced AI, robotics hardware, and software into a unified platform designed to speed up the development of real-world humanoid robots. </p>



<div class="wp-block-image"><figure class="aligncenter size-full"><img loading="lazy" width="842" height="591" src="https://www.gizmochina.com/wp-content/uploads/2026/06/image-5.png?x23692" alt="" class="wp-image-740604" srcset="https://www.gizmochina.com/wp-content/uploads/2026/06/image-5.png 842w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-300x211.png 300w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-768x539.png 768w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-696x489.png 696w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-598x420.png 598w, https://www.gizmochina.com/wp-content/uploads/2026/06/image-5-100x70.png 100w" sizes="(max-width: 842px) 100vw, 842px" /><figcaption>source:nvidianews.com</figcaption></figure></div>



<p>Rather than being a finished commercial robot, H2+ is a reference design that researchers, universities, and robotics companies can use as a blueprint to build and customize their own humanoid robots. Nvidia says the platform is designed to simplify every stage of robot development, from data collection and AI training to real-world deployment.</p>



<h2><strong>Combining Hardware and AI</strong></h2>



<p>The H2+ platform brings together several technologies into a single package. It uses Unitree&#8217;s H2 Plus humanoid robot body, Sharpa&#8217;s Wave robotic hands, and Nvidia&#8217;s Isaac GR00T AI models. Powering the system is Nvidia&#8217;s new Jetson AGX Thor T5000 computer, which is based on the Blackwell GPU architecture.</p>



<p>The robot stands nearly six feet tall and offers a total of 75 degrees of freedom, including highly dexterous robotic hands with 22 active joints. Nvidia says the Jetson AGX Thor T5000 delivers up to 2,070 FP4 TOPS of AI performance and includes 128GB of memory, allowing the robot to process complex tasks in real time.</p>



<h2><strong>Nvidia Introduces Cosmos 3</strong></h2>



<p>Alongside H2+, Nvidia also introduced Cosmos 3, a new physical AI world model designed to help robots better understand and learn from their environments.</p>



<p>According to Huang, one of the biggest challenges in robotics is collecting enough useful training data. Cosmos 3 can understand both third-person and first-person perspectives, helping generate robot-centric training data that can improve learning and decision-making.</p>



<h2><strong>Expansion Beyond China</strong></h2>



<p>Nvidia also revealed plans to expand its humanoid robot partnerships beyond China. The company is looking to work with robot makers in the United States, Europe, and South Korea, although partner names have not yet been announced.</p>



<p>The goal is to create standardized robot platforms with built-in security features such as Secure Boot and Confidential Computing, helping ensure that only verified software can run on the machines.</p>



<h2><strong>Growing Humanoid Robot Market</strong></h2>



<p>The announcement comes as interest in humanoid robots continues to grow. Analysts at Morgan Stanley expect China&#8217;s humanoid robot sales to exceed 28,000 units in 2026, potentially making it the world&#8217;s largest market for the technology.</p>



<p>With H2+, Cosmos 3, and new international partnerships, Nvidia is positioning itself at the center of the rapidly expanding humanoid robotics industry, supplying the AI hardware, software, and development tools that could power the next generation of intelligent machines.</p>



<p><strong><span style="text-decoration: underline;"><em>Read More:</em></span></strong></p>



<ul><li><a href="https://www.gizmochina.com/2026/06/01/us-ai-chip-export-restrictions/">US Expands AI Chip Restrictions Worldwide: What It Means for China</a></li><li><a href="https://www.gizmochina.com/2026/05/23/xiaomi-is-repairing-its-rainstorm-affected-phones-laptops-and-accessories-for-free-in-china/">Xiaomi is repairing its rainstorm-affected phones, laptops, and accessories for free in China</a></li><li><a href="https://www.gizmochina.com/2026/03/21/china-robotics-dominance-nvidia-physical-ai/">China vs US in Robotics: Nvidia CEO Reveals the Real Power Shift</a></li></ul>



<p>(<a href="https://nvidianews.nvidia.com/news/nvidia-open-humanoid-robot-reference-design" target="_blank" rel="noreferrer noopener">via</a>)</p>
<p>The post <a rel="nofollow" href="https://www.gizmochina.com/2026/06/01/nvidia-h2-plus-humanoid-robot-global-robotics-push/">Why Nvidia&#8217;s H2+ Humanoid Robot Has the Tech World Talking</a> appeared first on <a rel="nofollow" href="https://www.gizmochina.com">Gizmochina</a>.</p>
]]></content:encoded>
					
		
		
			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/

Object Caching 33/40 objects using Redis
Page Caching using Disk: Enhanced 
Content Delivery Network Full Site Delivery via cloudflare
Database Caching 13/24 queries in 0.009 seconds using Redis
Fragment Caching 2/3 fragments using Redis

Served from: www.gizmochina.com @ 2026-08-24 07:38:59 by W3 Total Cache
-->