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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning Visual Locomotion with Cross-Modal Supervision · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2211.03785/</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/2211.03785/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning Visual Locomotion with Cross-Modal Supervision — mentioned by stoniejohnson</title><link>https://news.ycombinator.com/item?id=35319808</link><guid isPermaLink="false">urn:hackerpapers:mention:2211.03785:35319808</guid><pubDate>Sun, 26 Mar 2023 21:26:57 GMT</pubDate><description>&lt;p&gt;Via simulation + meta-learning they can make a blind robot walk over arbitrary terrains solely via proprioception. They add a visual component, which with 30 minutes of real world data, through a technique called Cross-Modal Supervision (CMS), is able to improve walking performance significantly! They can even distort its vision (turn the camera) and it learns to adapt! Paper: https://arxiv.org/abs/2211.03785 Advisor Presentation: https://www.youtube.com/watch?v=f6fDpKDxpL0 Note: This is not my work; I originally found the presentation above.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2211.03785/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
