<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mobile Robots on Fondsites</title><link>https://fondsites.com/tags/mobile-robots/</link><description>Recent content in Mobile Robots on Fondsites</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 15 May 2026 18:32:29 +0300</lastBuildDate><atom:link href="https://fondsites.com/tags/mobile-robots/feed.xml" rel="self" type="application/rss+xml"/><item><title>Robot Mapping and Localization: How Robots Keep Their Place</title><link>https://fondsites.com/physical-ai-lab/guidebooks/robot-mapping-localization/</link><pubDate>Fri, 15 May 2026 00:00:00 +0000</pubDate><guid>https://fondsites.com/physical-ai-lab/guidebooks/robot-mapping-localization/</guid><description>&lt;p&gt;A mobile robot does not only need to know where the destination is. It needs to know where it is, where it has been, what has changed, and how confident it should be before it moves again.&lt;/p&gt;
&lt;p&gt;That sounds simple until the robot leaves the lab bench. A warehouse aisle may look almost identical for thirty meters. A hallway may have glass walls, moving carts, wet floor signs, open doors, and people crossing from side rooms. A home may rearrange itself every afternoon. A loading area may be bright in the morning and shadowed later in the day. The robot&amp;rsquo;s map is never the whole world. It is a practical memory that must stay useful while the world keeps editing itself.&lt;/p&gt;</description></item></channel></rss>