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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1903.06684/</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/1903.06684/feed.xml" rel="self" type="application/rss+xml" /><item><title>kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation — mentioned by christophclarke</title><link>https://news.ycombinator.com/item?id=20941195</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.06684:20941195</guid><pubDate>Wed, 11 Sep 2019 15:30:32 GMT</pubDate><description>&lt;p&gt;This seems to play very well with some of MIT CSAIL&amp;#x27;s research in training robots to be able to manipulate objects they haven&amp;#x27;t seen before. [1] https://www.youtube.com/watch?v=l9U8X6I1vow [2] https://arxiv.org/abs/1903.06684 TL;DR the objects are grouped into categories which determine the &amp;quot;Key points&amp;quot; on the objects (similar to this &amp;#x27;skeleton&amp;#x27;) which the robot knows how to interact with in order to bring about the intended manipulation.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.06684/"&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>
