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Sun, Fan-Yun
Moonlake
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Sun, Fan-Yun

Moonlake
@sunfanyun
ceo @moonlake, prev. @nvidiaai, cs phd @stanfordailab - Embodied AI & 3D
Stanford, CA
ai.stanford.edu/~sunfanyun/
Joined October 2018
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  • Pinned
    user avatar
    Sun, Fan-Yun
    Moonlake
    @sunfanyun
    Jun 3
    Excited to share that we are working with Nvidia to bring @moonlake's 3D Agent capabilities into NVIDIA's simulation ecosystem (@nvidiaomniverse) to help teams build assets, digital twins, and scenarios at scale. Here are 8 pairs of input images and the generated
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    Sun, Fan-Yun
    Moonlake
    @sunfanyun
    Aug 22
    Hot takes get rewarded: “VLAs are dead.” “World models don’t work.” Often times I find that real-world is less ideological. SOTA systems across very different domains are almost always “combining the best of both worlds”.
    user avatar
    Ge Yan
    @GeYan_21
    Aug 20
    Flex-π is now open source. 💻 github.com/geyan21/flex-pi 🤗 huggingface.co/flex-pi Code, checkpoints, and all our real-robot data from the five bimanual YAM tasks. One checkpoint runs every mode, action-only to full joint. Large-scale pre-training checkpoints coming next. Give it
  • user avatar
    Sun, Fan-Yun
    Moonlake
    @sunfanyun
    Aug 21
    The thesis to bet on
    user avatar
    Gabriel Vasquez
    @GEVS94
    Aug 20
    Article cover image
    Article
    Rise of the Borderless Founder
    Silicon Valley has always run on the magic of paying it forward. Everyone here has been helped by someone, at a critical moment - for no reason other than just to be helpful. There’s a special version...
  • user avatar
    Sun, Fan-Yun
    Moonlake
    @sunfanyun
    Aug 16
    Yeah this is about how I remembered it to be back in the day..
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    Chris Paxton
    @chris_j_paxton
    Aug 14
    researchers these days are spoiled by how good simulators are. i remember habitat...
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    Sun, Fan-Yun
    Moonlake
    @sunfanyun
    Aug 15
    Teleop in sim. Why? This paper hints at the right direction :)
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    01:13
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    Adam Rashid
    @adamrasb
    Aug 14
    Excited to share SPD: simulation pre-training for dexterity. We pre-trained a policy in simulation and fine-tuned with less than 2 hours of real data (with @sarthakkamat)
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