Yuke Zhu

@yukez

Associate Professor @UTCompSci | Director @NVIDIAAI Co-Leading GEAR | CS PhD @Stanford | Building generalist robot autonomy in the wild | Opinions are my own

Austin, TX

yukezhu.me

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Yuke Zhu
@yukez
Sep 4
CoRL 2026 paper decisions are out — check them out on OpenReview! As General Chair, I'm delighted to welcome you to #CoRL2026 in Austin, TX, this November. We expect tickets to sell out quickly, so please register early!
corl.org
CoRL 2026 - Registration
Registration site Click here for registration! Author Registration Registration requirements for authors is listed on the home page of the registration link. Visa letters can be obtained from the...
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Yuke Zhu
@yukez
Aug 14
SimFoundry is now open source. Explore it here: github.com/NVlabs/SimFoun… Give it a try and tell us what you think!
Yuke Zhu
@yukez
Jul 2
Today, we're introducing SimFoundry, our real2sim2real framework at NVIDIA GEAR that automatically turns real-world scenes into simulation-ready worlds from a single image or video. Website: research.nvidia.com/labs/gear/simf… Paper: arxiv.org/abs/2606.28276 This work marks a major step for
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Yuke Zhu
@yukez
Aug 12
SONIC is officially published in Science Robotics today and it made the Science front page. We show the promise of scaling motion tracking toward natural, robust whole-body control for humanoid robots. Huge thanks to the team, and more exciting work is on the way. Paper:
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Yuke Zhu
@yukez
Jul 24
Proud to be building open robotics models @nvidia. Open research FTW!
Jensen Huang
@JensenHuang
Jul 24
For my first post, I’m sharing a letter @nvidia signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
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Yuke Zhu
@yukez
Jul 2
Today, we're introducing SimFoundry, our real2sim2real framework at NVIDIA GEAR that automatically turns real-world scenes into simulation-ready worlds from a single image or video. Website: research.nvidia.com/labs/gear/simf… Paper: arxiv.org/abs/2606.28276 This work marks a major step for
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