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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GR00T N1: An Open Foundation Model for Generalist Humanoid Robots · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2503.14734/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2503.14734/feed.xml" rel="self" type="application/rss+xml" /><item><title>GR00T N1: An Open Foundation Model for Generalist Humanoid Robots — mentioned by nl</title><link>https://news.ycombinator.com/item?id=49141377</link><guid isPermaLink="false">urn:hackerpapers:mention:2503.14734:49141377</guid><pubDate>Sun, 02 Aug 2026 05:24:51 GMT</pubDate><description>&lt;p&gt;&amp;gt; Action LLMs work by generating text underneath This isn&amp;#x27;t true. Obviously there is a lot of variety in architecture, but in the prototypical example there are vision and languages encoders and an action decoder which decodes direction into action steps. Eg, Hugging Face SmolVLA: &amp;gt; Specifically, the VLM processes sensorimotor states, including images from multiple RGB cameras, and a language instruction describing the task. In turn, the VLM outputs features directly fed to the action expert, which outputs the final 3 continuous actions.[1] Or NVidia&amp;#x27;s GR00T N1: &amp;gt; A diffusion transformer…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2503.14734/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item><item><title>GR00T N1: An Open Foundation Model for Generalist Humanoid Robots — mentioned by LatencyKills</title><link>https://news.ycombinator.com/item?id=48433541</link><guid isPermaLink="false">urn:hackerpapers:mention:2503.14734:48433541</guid><pubDate>Sun, 07 Jun 2026 10:40:41 GMT</pubDate><description>&lt;p&gt;I went this route because I had difficulty visualizing the content of the Attention Is All You Need paper. After going through both books, I can now understand every part of that paper. I&amp;#x27;m currently working on a robotics project that uses Nvidia&amp;#x27;s GR00T N1 model, and I was able to understand the research paper. [0] [0]: https://arxiv.org/abs/2503.14734&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2503.14734/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item></channel></rss>
