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    <title>Jiazhi Yang on The AI Talks</title>
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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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