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Ruohan Zhang

@RuohanZhang76
Incoming Assistant Professor @NorthwesternCS, Postdoc @StanfordSVL; robot, brain, art; soccer, cooking, dance
Stanford University
ruohanzhang.com
Joined September 2021
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    Ruohan Zhang
    @RuohanZhang76
    Jul 13
    The 2nd BEHAVIOR Challenge is here! As embodied AI models advance at a rapid pace, it's more important than ever to understand where the field stands on generalizable solutions. With high-quality teleoperation data and strong pre-trained baselines including π₀ and GR00T, we
    user avatar
    Fei-Fei Li
    @drfeifei
    Jul 13
    1/N Long horizon, complex tasks that truly matter in everyday life are not solved problems by today’s robotics, requiring planning, object detection, object manipulation, and failure recovery. That's why Stanford's BEHAVIOR Challenge is back for year 2! Last year, the winning
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    Ruohan Zhang
    @RuohanZhang76
    Jun 3
    I would also like to highlight @EvansXuHan’s remarkable growth in leading StereoPlolicy. He was already trained in machine learning before joining us, but robotics problems are full-stack problems. In this project, he went through a full journey of simulation, robot hardware,
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    Ruohan Zhang
    @RuohanZhang76
    Jun 3
    Excited to introduce StereoPolicy, led by @EvansXuHan. 📷📷🤖StereoPolicy is an effective way to add geometric cues to modern robot policy models while keeping the strengths of pretrained 2D encoders. ⁉️Why stereo for robot manipulation? Monocular RGB often lacks the depth
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  • user avatar
    Ruohan Zhang
    @RuohanZhang76
    Jun 3
    Excited to introduce StereoPolicy, led by @EvansXuHan. 📷📷🤖StereoPolicy is an effective way to add geometric cues to modern robot policy models while keeping the strengths of pretrained 2D encoders. ⁉️Why stereo for robot manipulation? Monocular RGB often lacks the depth
    Image
    00:00