
  <rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
      <title>GamaSome</title>
      <link>https://www.gamasome.com/blog</link>
      <description>Our company offers cutting-edge AI, Blockchain, AR/VR, and metaverse solutions for enterprises.</description>
      <language>en-us</language>
      <managingEditor>mailto@gamasome.com (Gamasome)</managingEditor>
      <webMaster>mailto@gamasome.com (Gamasome)</webMaster>
      <lastBuildDate>Thu, 16 Jul 2026 00:00:00 GMT</lastBuildDate>
      <atom:link href="https://www.gamasome.com/tags/physical-ai/feed.xml" rel="self" type="application/rss+xml"/>
      
  <item>
    <guid>https://www.gamasome.com/blog/data-collection-automotive-industry</guid>
    <title>Data Collection in the Automotive Industry: The Real Bottleneck</title>
    <link>https://www.gamasome.com/blog/data-collection-automotive-industry</link>
    <description>Automotive data collection isn&#39;t failing from lack of volume. It&#39;s failing because perception, telematics, quality, and cabin data never learned to talk to each other.</description>
    <pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate>
    <author>mailto@gamasome.com (Gamasome)</author>
    <category>Physical AI</category><category>Automotive</category><category>Data Collection</category><category>ADAS</category>
  </item>

  <item>
    <guid>https://www.gamasome.com/blog/data-collection-for-robotics</guid>
    <title>Data Collection for Robotics: The Work Nobody Sees</title>
    <link>https://www.gamasome.com/blog/data-collection-for-robotics</link>
    <description>Most robot policies fail because of bad data, not bad models. Here is how teleoperation, kinesthetic teaching, and human video actually work in the field.</description>
    <pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate>
    <author>mailto@gamasome.com (Gamasome)</author>
    <category>Physical AI</category><category>Robotics</category><category>Data Collection</category><category>Teleoperation</category>
  </item>

  <item>
    <guid>https://www.gamasome.com/blog/physical-ai-robotics</guid>
    <title>How Physical AI Is Powering Next-Generation Robotics</title>
    <link>https://www.gamasome.com/blog/physical-ai-robotics</link>
    <description>Physical AI is moving robots from scripted machines to adaptive systems that perceive, reason, and act in the real world. Here is how it works, where it is already paying off, and what to plan for.</description>
    <pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate>
    <author>mailto@gamasome.com (Gamasome)</author>
    <category>Physical AI</category><category>Robotics</category><category>Automation</category>
  </item>

  <item>
    <guid>https://www.gamasome.com/blog/what-is-data-annotation</guid>
    <title>What is data annotation, and why does it decide whether your model actually works?</title>
    <link>https://www.gamasome.com/blog/what-is-data-annotation</link>
    <description>Data annotation turns raw images, video, text, and sensor data into labels AI models can learn from. Here&#39;s how it actually works, and what most guides skip.</description>
    <pubDate>Sun, 09 Aug 2026 00:00:00 GMT</pubDate>
    <author>mailto@gamasome.com (Gamasome)</author>
    <category>Data Annotation</category><category>Data Labeling</category><category>Physical AI</category><category>AI</category>
  </item>

  <item>
    <guid>https://www.gamasome.com/blog/what-is-physical-ai</guid>
    <title>What Is Physical AI? A Clear Guide to AI That Acts in the Real World</title>
    <link>https://www.gamasome.com/blog/what-is-physical-ai</link>
    <description>Physical AI is AI that senses, reasons, and acts in the real world. See how it works, where it runs today, and why 2026 is its turning point.</description>
    <pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate>
    <author>mailto@gamasome.com (Gamasome)</author>
    <category>Physical AI</category><category>Robotics</category><category>AI</category><category>Automation</category>
  </item>

    </channel>
  </rss>
