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    <title>Vision-Language-Action Models on The AI Talks</title>
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    <description>Recent content in Vision-Language-Action Models on The AI Talks</description>
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      <title>Improving Generalist Robot by Modeling Its Future and Past</title>
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      <pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate>
      
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      <description>Speaker Jiazhi Yang is a Ph.D. student at CUHK MMLab and a research intern at OpenDriveLab. His research focuses on developing autonomous, adaptive, and scalable self-improving embodied agents, through the lens of physical interactions and world models. He has publication records at premier venues including NeurIPS and CVPR, earning recognitions such as NeurIPS Spotlight and CVPR Oral presentations.
Abstract Robot policies can transcend reactive behavior by learning to anticipate future outcomes and contextualize past events.</description>
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      <title>Building Open Science Robotics Foundation Models for Real-world Deployment</title>
      <link>http://theaitalks.org/talks/2026/0521/</link>
      <pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate>
      
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      <description>Speaker 1: Jiafei Duan Jiafei Duan is an incoming Assistant Professor at the National University of Singapore. He completed his Ph.D. in Computer Science &amp;amp; Engineering at the University of Washington, advised by Dieter Fox and Ranjay Krishna. His research centers on robotics foundation models, scalable data collection and generation, and grounding vision-language models in robotic reasoning. He has published at venues including ICLR, ICML, and RSS, and received the Ubiquitous Robots 2023 Best Paper Award.</description>
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