Yide Shentu (@YideShentu)

Full ABC release is out: pretraining recipe, sim eval toolchain, data and code, all open. Proud that XDOF contributed the data side of this effort. More open releases like this are how robotics models become accessible to everyone. Congrats to the team on CoRL 2026.

Adam Rashid Verified account @adamrasb Sep 18

Happy to announce the full ABC release! We’re also excited that ABC was accepted to CoRL 2026!

Check out our website for code, 400+ hours of sim data on 24 tasks, and 5,850 labeled policy-evaluation episodes.

@arthurallshire @Cinnabar233 @ritvik_singh9 @redstone_hong @davidrmcall

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Yide Shentu @YideShentu Jun 17

It's hard to believe it's been almost two years since we started XDOF.

What began as a conviction that robotics needed a new infrastructure layer has grown into a company supporting some of the most ambitious teams building robot foundation models.

This milestone belongs to our incredible team. Thank you for the relentless hard work, persistence, and belief through every challenge along the way.

Thank you to our customers, partners, and investors for your trust and support. We're grateful to be building alongside you.

We're still at the beginning. Excited for what's ahead.

Philipp Wu Verified account @philippswu Jun 17

Announcing @xdofai: We’ve raised $70 million to build the core robotic infrastructure ecosystem for robot foundation models.

My cofounders Fred (@YideShentu), Nemo (@itsnemojin) and I have been pursuing the dream of general purpose robots for our entire lives. After work at Covariant, Meta and Tesla, it became clear to us that general purpose robots are coming, and we are building XDOF to help make them a reality.

For the last two years, we’ve been working behind the scenes to support major labs and companies deploying robots. In us, they have a partner with full-stack expertise, from hardware to operations to policy training.

As our first public contribution to the space, we are open-sourcing ABC-130K, the largest open source teleoperation dataset, in collaboration with our partners from UC Berkeley, Carnegie Mellon, MIT and Amazon FAR.

Thank you to our customers, partners, collaborators and investors for your trust and conviction in us. Together, we can accelerate the future of robotics!

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Yide Shentu @YideShentu Feb 3

Definitely a fun project. My biggest takeaway is that varying the camera viewpoint really makes the learning more robust.

Justin Yu ✈️ CoRL Verified account @uynitsuj Feb 3

[Accepted to ICRA 2026!] 🚀 Introducing EgoMI: An egocentric manipulation interface that captures synchronized 6-DoF head and hand trajectories from egocentric human demonstrations!

Transfers to IL policies zero-shot w/o visual augmentation or on-embodiment data.

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Yide Shentu @YideShentu Dec 15, 2024

I first learned the term "holonomic" during a conversation with @jimmyyhwu while experimenting with the AgileX Ranger Mini. Despite being omnidirectional, the Ranger Mini isn't holonomic. Initially, I thought this distinction didn't matter—until I tried to make the base follow human pelvis motion.

A non-holonomic base requires steering before turning, introducing additional latency and jerkiness. This made the teleoperation experience quite frustrating.

Congrats on the true full open-source release! 🎉 I hope more people get to enjoy this incredible base concept! 🚀

Jimmy Wu Verified account @jimmyyhwu Dec 12, 2024

When will robots help us with our household chores?

TidyBot++ brings us closer to that future. Our new open-source mobile manipulator makes it more accessible and practical to do robot learning research outside the lab, in real homes!

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Yide Shentu @YideShentu Sep 27, 2024

Huge thanks to @3dsystems for the loaner haptic device! I've always seen a really old one sitting at our lab even since I was a undergraduate but never actually tried it. It’s pure magic—being able to feel the shape, texture, weight, and physics of objects right in mid-air. It’s like a precisely-engineered mini robot arm with super smooth, low-friction transmission and ultra-low inertia. A whole different level compared to zero-gravity drag modes on standard collaborative robots. Can not wait to see how this force feedback mechanism could combine with GELLO wuphilipp.github.io/gello_site/ to enhance data collection quality!

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Yide Shentu

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