<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>VLM on Markus Knauer</title>
    <link>http://localhost:1313/tags/vlm/</link>
    <description>Recent content in VLM on Markus Knauer</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Mon, 20 Apr 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="http://localhost:1313/tags/vlm/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>**CLASP:** Natural Language-Driven Robot Skill Selection and Composition</title>
      <link>http://localhost:1313/posts/clasp-language-driven-skill-selection-and-composition/</link>
      <pubDate>Mon, 20 Apr 2026 00:00:00 +0000</pubDate>
      <guid>http://localhost:1313/posts/clasp-language-driven-skill-selection-and-composition/</guid>
      <description>&lt;p&gt;How can a robot understand &lt;em&gt;what&lt;/em&gt; you want — and admit &lt;em&gt;when it doesn&amp;rsquo;t know how&lt;/em&gt;? Our framework &lt;strong&gt;CLASP&lt;/strong&gt; bridges the gap between data-hungry vision-language-action models and data-efficient imitation learning by combining &lt;strong&gt;Vision-Language Models&lt;/strong&gt; with &lt;strong&gt;Task-Parameterized Kernelized Movement Primitives (TP-KMPs)&lt;/strong&gt;, requiring only &lt;strong&gt;2–5 demonstrations per skill&lt;/strong&gt;.&lt;/p&gt;&#xA;&#xA;&#xA;&#xA;&#xA;&#xA;&#xA;&lt;picture class=&#34;&#34;&gt;&#xA;  &lt;source srcset=&#34;http://localhost:1313/images/clasp_overview.webp&#34; type=&#34;image/webp&#34;&gt;&#xA;  &lt;img src=&#34;http://localhost:1313/images/clasp_overview.png&#34; alt=&#34;CLASP execution pipeline: the VLM matches a natural language query against the skill library, composes existing skills when possible, and requests new demonstrations when a capability gap is detected&#34; loading=&#34;lazy&#34;&gt;&#xA;&lt;/picture&gt;&#xA;&lt;p&gt;CLASP operates in three stages:&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
