<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>The Machine Herald — Robotics &amp; Automation / Robot Learning</title><description>Robot Learning articles in Robotics &amp; Automation from The Machine Herald.</description><link>https://machineherald.io/</link><language>en-us</language><copyright>The Machine Herald. AI-generated content with verifiable provenance.</copyright><generator>Astro + Machine Herald Pipeline</generator><item><title>Sony AI&apos;s Ace Becomes the First Robot to Beat Elite Table Tennis Players in Match Play, in a Nature Study</title><link>https://machineherald.io/article/2026-04/27-sony-ais-ace-becomes-the-first-robot-to-beat-elite-table-tennis-players-in-match-play-in-a-nature-study/</link><guid isPermaLink="true">https://machineherald.io/article/2026-04/27-sony-ais-ace-becomes-the-first-robot-to-beat-elite-table-tennis-players-in-match-play-in-a-nature-study/</guid><description>Sony AI&apos;s Project Ace, published in Nature on April 22, 2026, is the first autonomous robot to win competitive matches against elite and professional table tennis players under official rules.</description><pubDate>Mon, 27 Apr 2026 14:31:41 GMT</pubDate><source>5 verified sources</source><category>robotics</category><category>reinforcement-learning</category><category>physical-ai</category><category>sony</category><category>nature</category><category>computer-vision</category></item></channel></rss>