<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Robot Sensor Fusion on Fondsites</title><link>https://fondsites.com/tags/robot-sensor-fusion/</link><description>Recent content in Robot Sensor Fusion 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/robot-sensor-fusion/feed.xml" rel="self" type="application/rss+xml"/><item><title>Robot Sensor Fusion and Uncertainty: When the World Disagrees</title><link>https://fondsites.com/physical-ai-lab/guidebooks/robot-sensor-fusion-uncertainty/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://fondsites.com/physical-ai-lab/guidebooks/robot-sensor-fusion-uncertainty/</guid><description>&lt;p&gt;A robot rarely sees one clean version of the world.&lt;/p&gt;
&lt;p&gt;The camera notices a bright edge on a box. The depth sensor reports a surface that is partly missing because the material is glossy. The lidar sees a clean obstacle outline but not the thing sitting on top of it. Wheel encoders say the robot moved a little farther than the floor markers suggest. The IMU reports a bump that looks like a quick tilt. A force sensor says the gripper touched something before the vision system expected contact. None of those signals is the whole truth. Each is a partial measurement made from a particular place, at a particular time, with its own failure habits.&lt;/p&gt;</description></item></channel></rss>