Yuke Zhu
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Associate Professor @UTCompSci | Director @NVIDIAAI Co-Leading GEAR | CS PhD @Stanford | Building generalist robot autonomy in the wild | Opinions are my own
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Latest posts 5
Alright, alright, alright…
CoRL registration is completely maxed out, with hundreds of people on the waiting list. Please stop flooding my inbox for tickets 😂
You can still join the fun! Our partners are hosting social events all over town. We gathered the list of public events here:
corl.org/program/socials
Many don’t require a conference badge to attend. Let’s turn Ausitn into a Robotics Party Town!
CoRL registration is completely maxed out, with hundreds of people on the waiting list. Please stop flooding my inbox for tickets 😂
You can still join the fun! Our partners are hosting social events all over town. We gathered the list of public events here:
corl.org/program/socials
Many don’t require a conference badge to attend. Let’s turn Ausitn into a Robotics Party Town!
CoRL is now sold out. We have an incredible program lined up. Can't wait to see y'all in Austin next week!View quoted post on X
corl.org/program
CoRL is now sold out. We have an incredible program lined up. Can't wait to see y'all in Austin next week!
corl.org/program
corl.org/program
Sharing a copy of my ICRA'26 keynote talk from three months ago. 3 key messages:
1. Building a human-like machine, a dream that has fascinated humankind for centuries, is rapidly becoming a reality.
2. Human data is, by far, the most scalable source of training data to fuel robot foundation models.
3. World models are a "data sponge" that can absorb massive amounts of multimodal data for policy generalization.
Video: youtube.com/watch?v=cNU_8t…
Slides: yukezhu.me/talks/building…
The talk brought together our work over the past year: GR00T, EgoScale, SONIC, WAM, and more. Here’s the same demo I showed on stage: Our (now old!) model learning to assemble the YCB airplane with zero teleop data.
We've made incredible progress since then. What's coming next? 🚀
1. Building a human-like machine, a dream that has fascinated humankind for centuries, is rapidly becoming a reality.
2. Human data is, by far, the most scalable source of training data to fuel robot foundation models.
3. World models are a "data sponge" that can absorb massive amounts of multimodal data for policy generalization.
Video: youtube.com/watch?v=cNU_8t…
Slides: yukezhu.me/talks/building…
The talk brought together our work over the past year: GR00T, EgoScale, SONIC, WAM, and more. Here’s the same demo I showed on stage: Our (now old!) model learning to assemble the YCB airplane with zero teleop data.
We've made incredible progress since then. What's coming next? 🚀
1:18
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/attending/regi…
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/attending/regi…