<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Physical AI on Fondsites</title><link>https://fondsites.com/tags/physical-ai/</link><description>Recent content in Physical AI on Fondsites</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 07 May 2026 22:14:46 +0300</lastBuildDate><atom:link href="https://fondsites.com/tags/physical-ai/feed.xml" rel="self" type="application/rss+xml"/><item><title>What Robots Can Actually Do: A Grounded Physical AI Quickstart</title><link>https://fondsites.com/physical-ai-lab/guidebooks/what-robots-can-actually-do/</link><pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate><guid>https://fondsites.com/physical-ai-lab/guidebooks/what-robots-can-actually-do/</guid><description>&lt;p&gt;&lt;img
 src="https://fondsites.com/physical-ai-lab/images/guidebooks/what-robots-can-actually-do.avif"
 alt="A robotics test table showing a mobile base, gripper, tote, household objects, sensor views, and a safety stop button"
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&lt;p&gt;The most useful robotics question is not &amp;ldquo;Can a robot do this once?&amp;rdquo;&lt;/p&gt;
&lt;p&gt;It is &amp;ldquo;Can this robot do this task repeatedly, in this environment, with these objects, around these people, at this cost, with a safe failure mode?&amp;rdquo;&lt;/p&gt;
&lt;p&gt;That question turns a flashy demo into an engineering problem. It also makes modern robots easier to understand. Many robots are already useful. Fewer are general. Very few can walk into an ordinary home, infer what you meant, handle all the objects, recover from surprises, and do it safely without careful setup.&lt;/p&gt;</description></item><item><title>Humanoid Robots: The Practical Guide</title><link>https://fondsites.com/physical-ai-lab/guidebooks/humanoid-robots/</link><pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate><guid>https://fondsites.com/physical-ai-lab/guidebooks/humanoid-robots/</guid><description>&lt;p&gt;&lt;img
 src="https://fondsites.com/physical-ai-lab/images/guidebooks/humanoid-robots.avif"
 alt="A humanoid robot test bay with a torso, legs, balance markers, workbench tools, and supervised safety boundaries"
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&lt;p&gt;Humanoid robots are compelling because the world was built for bodies roughly like ours.&lt;/p&gt;
&lt;p&gt;Doors, stairs, shelves, tools, handles, carts, kitchens, factories, warehouses, ladders, and vehicles assume human reach, height, vision, hands, and legs. A humanoid promises a single robot that can enter those spaces without rebuilding the world.&lt;/p&gt;
&lt;p&gt;That promise is real. It is also expensive.&lt;/p&gt;</description></item><item><title>Embodied AI: Models That Meet the World</title><link>https://fondsites.com/physical-ai-lab/guidebooks/embodied-ai/</link><pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate><guid>https://fondsites.com/physical-ai-lab/guidebooks/embodied-ai/</guid><description>&lt;p&gt;&lt;img
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 alt="A visual embodied AI pipeline showing cameras, depth sensors, simulation, robot policy, gripper actions, and real-world feedback"
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&lt;p&gt;Embodied AI is the idea that intelligence changes when it has a body.&lt;/p&gt;
&lt;p&gt;A chatbot can answer a question without touching the world. A robot has to perceive a scene, choose an action, move through physics, and live with the result. The cup slips. The floor reflects. The door is heavier than expected. The object is behind another object. The human steps into the path. The robot has to notice, adapt, and stay safe.&lt;/p&gt;</description></item></channel></rss>