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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Large Language Model-Assisted UAV Operations and Communications: A Multifaceted Survey and Tutorial · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2602.19534/</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/2602.19534/feed.xml" rel="self" type="application/rss+xml" /><item><title>Large Language Model-Assisted UAV Operations and Communications: A Multifaceted Survey and Tutorial — mentioned by tzury</title><link>https://news.ycombinator.com/item?id=47387150</link><guid isPermaLink="false">urn:hackerpapers:mention:2602.19534:47387150</guid><pubDate>Sun, 15 Mar 2026 13:22:55 GMT</pubDate><description>&lt;p&gt;&amp;quot;let alone with AI&amp;quot; what&amp;#x27;s falling into the AI category here perhaps is the key question, since microseconds counts, and LLM are very slow! Even the fastest &amp;quot;real-time&amp;quot; LLM frameworks currently report sub-second latencies around 120ms. This is fine for high-level mission planning (e.g., &amp;quot;fly to the red house&amp;quot;) but too slow to prevent a drone from hitting a tree at 50mph (80 KM/h)[1] Whilst the Shahed-136 kamikaze drone typically flies at a maximum speed of around 185 km/h (roughly 115 mph or 100 knots). [1] https://arxiv.org/html/2602.19534v1 [2] https://en.wikipedia.org/wiki/HESA_Shahed_136&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2602.19534/"&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>
