<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Humanoid on WorldSense Tech Blog</title><link>https://worldsensetech.com/en/tags/humanoid/</link><description>Recent content in Humanoid on WorldSense Tech Blog</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 03 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://worldsensetech.com/en/tags/humanoid/index.xml" rel="self" type="application/rss+xml"/><item><title>Embodied AI in 2026: What Breakthroughs Can We Expect?</title><link>https://worldsensetech.com/en/articles/embodied-ai-2026-breakthrough/</link><pubDate>Mon, 03 Aug 2026 00:00:00 +0000</pubDate><guid>https://worldsensetech.com/en/articles/embodied-ai-2026-breakthrough/</guid><description>&lt;p&gt;Embodied AI has clearly accelerated in 2025. Humanoid robot companies are clustering around funding rounds, large model providers are aggressively moving into robotics, and governments worldwide have listed embodied AI as a strategic priority. Standing at the threshold of 2026, I see several directions poised for substantive breakthroughs.&lt;/p&gt;
&lt;h2 id="breakthrough-1-world-models--from-imagination-to-decision-making"&gt;Breakthrough 1: World Models — From &amp;ldquo;Imagination&amp;rdquo; to &amp;ldquo;Decision-Making&amp;rdquo;&lt;/h2&gt;
&lt;p&gt;In 2023–2024, DreamerV3 demonstrated that world models could efficiently train policies in simulation. But those world models were more like &amp;ldquo;environment simulators&amp;rdquo; — they could predict what would happen next, yet there was still a gap between prediction and actual decision-making.&lt;/p&gt;</description></item></channel></rss>