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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2602.06949/</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/2602.06949/feed.xml" rel="self" type="application/rss+xml" /><item><title>DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos — mentioned by modeless</title><link>https://news.ycombinator.com/item?id=48161409</link><guid isPermaLink="false">urn:hackerpapers:mention:2602.06949:48161409</guid><pubDate>Sat, 16 May 2026 16:08:49 GMT</pubDate><description>&lt;p&gt;World models will be how general purpose robots finally work. They are essentially learned simulators of the world. They will replace traditional robotics simulators which are not flexible enough to enable training of general robotics policies. Robot control policies will be trained and evaluated in learned simulators, and the policies themselves will also be world models in order to predict the consequences of their own actions and thus enable planning. Simulated data will scale much better than expensive real-world robot data, and will allow robot policies to reach LLM-level dataset sizes…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2602.06949/"&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>
