<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Perception on WorldSense Tech Blog</title><link>https://www.worldsensetech.com/en/tags/perception/</link><description>Recent content in Perception on WorldSense Tech Blog</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 26 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.worldsensetech.com/en/tags/perception/index.xml" rel="self" type="application/rss+xml"/><item><title>What Does a World Model Actually Do in a Robot? From Perception to Action</title><link>https://www.worldsensetech.com/en/articles/2026-08-26-world-model-in-robotics/</link><pubDate>Wed, 26 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.worldsensetech.com/en/articles/2026-08-26-world-model-in-robotics/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Dreamer Series · Part 2&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.worldsensetech.com/en/articles/2026-08-25-dreamer-explained/"&gt;Part 1&lt;/a&gt; broke down Dreamer&amp;rsquo;s overall architecture. This article zooms out one step further: where exactly does a world model sit in a robotic system? What happens between sensor data and the final action? Rather than discussing how to train a general-purpose robot world model, this article focuses on its functional position within robotic systems.&lt;/p&gt;
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&lt;h2 id="1-a-fundamental-difference-robot-world-models-are-nothing-like-language-models"&gt;1. A Fundamental Difference: Robot World Models Are Nothing Like Language Models&lt;/h2&gt;
&lt;p&gt;Over the past few years, the word &amp;ldquo;model&amp;rdquo; has been used repeatedly across AI. Language models predict the next token, vision models predict the next frame, autonomous driving models predict the behavior of traffic participants. They all do some form of &amp;ldquo;prediction,&amp;rdquo; but the objects and constraints differ enormously.&lt;/p&gt;</description></item></channel></rss>