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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SymForce: Symbolic Computation and Code Generation for Robotics · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2204.07889/</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/2204.07889/feed.xml" rel="self" type="application/rss+xml" /><item><title>SymForce: Symbolic Computation and Code Generation for Robotics — HN submission</title><link>https://news.ycombinator.com/item?id=31494328</link><guid isPermaLink="false">urn:hackerpapers:submission:2204.07889:31494328</guid><pubDate>Tue, 24 May 2022 16:38:31 GMT</pubDate><description>&lt;p&gt;Show HN: SymForce – Fast symbolic computation, code generation, and optimization&lt;/p&gt;&lt;p&gt;Author here. I’m unreasonably excited to share this library that we’re open-sourcing today — our team has been building it for five years and these ideas have been a passion of mine for fifteen. SymForce is a library that makes it easy to code a problem once in Python with an augmented SymPy API (backed by C++), experiment with it symbolically, generate optimized code in C++ or any backend language, and then run highly efficient nonlinear optimization problems based on the original problem definition. This workflow elegantly solves a wide variety of tasks in robotics and related domains, and…&lt;/p&gt;&lt;p&gt;125 points; 17 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2204.07889/"&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>
