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    <title>Robot Learning on The AI Talks</title>
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    <description>Recent content in Robot Learning on The AI Talks</description>
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      <title>3D World Model for Robotics</title>
      <link>http://theaitalks.org/talks/2026/0327/</link>
      <pubDate>Fri, 27 Mar 2026 00:00:00 +0000</pubDate>
      
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      <description>Speaker Wenlong Huang is a PhD candidate in Computer Science at Stanford University, advised by Professor Fei-Fei Li. He received his B.A. in Computer Science from UC Berkeley, where he was advised by Professor Deepak Pathak, Dr. Igor Mordatch, and Professor Pieter Abbeel. He studies the intersection between robotic manipulation, foundation models, and 3D computer vision. His works have won the Outstanding Paper Award in Robot Learning at ICRA 2023, the Best Paper Award at the CoRL 2024 LEAP Workshop, and the Best Paper Finalist at ICRA 2025.</description>
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      <title>Scaling World Models for Generalist Robots</title>
      <link>http://theaitalks.org/talks/2026/0320/</link>
      <pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate>
      
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      <description>Speaker 1: Shenyuan Gao Shenyuan Gao is a final-year PhD student at HKUST and a research intern with the NVIDIA GEAR team. He has published multiple papers at top-tier conferences in robot learning and computer vision (ICML/NeurIPS/CVPR/ECCV/RSS/IROS). His primary research interests include generative world models and their applications in embodied AI.
Speaker 2: Seonghyeon Ye Seonghyeon Ye is a final-year Ph.D. student at KAIST AI and a research intern with the NVIDIA GEAR team.</description>
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