<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>World Models on Fondsites</title><link>https://fondsites.com/tags/world-models/</link><description>Recent content in World Models on Fondsites</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 29 May 2026 13:43:57 +0300</lastBuildDate><atom:link href="https://fondsites.com/tags/world-models/feed.xml" rel="self" type="application/rss+xml"/><item><title>Robot Task Planning and World Models: Turning Goals Into Safe Steps</title><link>https://fondsites.com/physical-ai-lab/guidebooks/robot-task-planning-world-models/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://fondsites.com/physical-ai-lab/guidebooks/robot-task-planning-world-models/</guid><description>&lt;p&gt;A robot goal is usually too large to execute directly.&lt;/p&gt;
&lt;p&gt;&amp;ldquo;Bring the tote to packing&amp;rdquo; is not one action. It includes finding the tote, confirming the right tote, navigating to it, aligning with the pickup point, checking whether the path is clear, lifting or carrying within limits, choosing a route, avoiding people, arriving at the destination, placing the tote where the next person expects it, and reporting that the job is complete. &amp;ldquo;Clear the table&amp;rdquo; is even less direct. The robot has to decide what counts as table clutter, where each object can go, which objects are safe to touch, which order avoids collisions, and what to do when an object is heavier, softer, slippery, or more fragile than expected.&lt;/p&gt;</description></item></channel></rss>