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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2401.02117/</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/2401.02117/feed.xml" rel="self" type="application/rss+xml" /><item><title>Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation — mentioned by YeGoblynQueenne</title><link>https://news.ycombinator.com/item?id=40063192</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.02117:40063192</guid><pubDate>Wed, 17 Apr 2024 11:43:38 GMT</pubDate><description>&lt;p&gt;Yeah, it&amp;#x27;s called imitation learning. Check out the Mobile ALOHA paper where they explain their approach in some detail: https://arxiv.org/abs/2401.02117&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.02117/"&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>Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation — mentioned by YeGoblynQueenne</title><link>https://news.ycombinator.com/item?id=40062804</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.02117:40062804</guid><pubDate>Wed, 17 Apr 2024 10:47:48 GMT</pubDate><description>&lt;p&gt;If you want a robot that can fold your laundry, clean your room and cook, you need a lot more than cheap hardware. You need an autonomous agent (i.e. &amp;quot;an AI&amp;quot;) that can guide the hardware to accomplish the task. We&amp;#x27;re still very far from that and you certainly can&amp;#x27;t do that with ALOHA, in practice, despite what the videos may seem to show. For each of the few, discrete, tasks that you see in the videos, the robot arms have to be trained by demonstration (via teleoperation) and the end result is a system that can only copy the operator&amp;#x27;s actions with very little variation. You can check this in…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.02117/"&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>Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation — mentioned by adolph</title><link>https://news.ycombinator.com/item?id=40055207</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.02117:40055207</guid><pubDate>Tue, 16 Apr 2024 18:03:47 GMT</pubDate><description>&lt;p&gt;It isn&amp;#x27;t clear how &amp;quot;Aloha Unleashed&amp;quot; is different from &amp;quot;Mobile ALOHA&amp;quot; Paper: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation: https://arxiv.org/abs/2401.02117 Video set: https://mobile-aloha.github.io/ Tutorial: https://docs.google.com/document/d/1_3yhWjodSNNYlpxkRCPIlvIA... Kits for sale: https://www.trossenrobotics.com/aloha-kits&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.02117/"&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>Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation — HN submission</title><link>https://news.ycombinator.com/item?id=38889786</link><guid isPermaLink="false">urn:hackerpapers:submission:2401.02117:38889786</guid><pubDate>Sat, 06 Jan 2024 08:58:51 GMT</pubDate><description>&lt;p&gt;Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2401.02117/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item></channel></rss>
