The infrastructure partner to the world's most ambitious robotics builders.

Joined August 2024
4 Photos and videos
Introducing WARP-RM: A Warp-Augmented Relative Progress Reward Model for Data Curation 🧡 We gave our t-shirt folding robot more demonstrations and it got worse. Every extra demo ended in a successfully folded shirt. The data wasn't bad. It was noisy. The policy couldn't tell productive motion from dead time, and it imitated both equally. So which moments of a demo are actually worth copying? 🌐 Project Website: uynitsuj.github.io/warp-rm πŸ“„ Paper: arxiv.org/abs/2606.28320 πŸ’» Code: github.com/uynitsuj/WARP-RM πŸ“¨ XDOF blog post: xdof.ai/blog/warp-rm
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Why did giving our robot more demonstrations make it worse? Introducing WARP-RM: a self-supervised reward model that learns which moments of a demo are actually worth imitating. Result: 1.8x the throughput compared to vanilla BC on t-shirt folding! Congrats to lead authors: @uynitsuj (XDOF intern) Andrew Goldberg @kavish_kondap Karim El-Refai (XDOF) Ethan Ransing @QianzhongChen (XDOF intern)
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SARM2 is a multi-task, stage-aware reward model: dense, accurate AND general. Feeding SARM2 rewards into a self-improvement framework SPIRAL boosts task success rates from 50-60% to 90-100% πŸ”₯ Congrats to @QianzhongChen (XDOF intern) and co-authors: - @BrianZheng103 - @uynitsuj (XDOF intern) - @suning_huang - @JiankaiSun
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ABC: - Fully reproducible robotics stack βœ… - Largest open teleoperation dataset βœ… - Top trending dataset on @huggingface βœ… - >400 hrs of sim teleop data, evals dataset with full set of trials, more code coming soon βœ…
My favorite part: ABC is a reproducible robotics stack. The website demos are not just cool videos: the underlying data, recipes, and infra are open, so people can actually inspect and build on them. Also excited about the >400h of sim teleop data coming soon. This should help the community iterate faster and study questions like sim-real co-training. One encouraging signal from our experiments: even with only ~2% simulated data mixed into co-training, we observed strong sim-real performance correlations. Excited to see what the community builds on top!
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XDOF reposted
Introducing ABC: open data, training, and infrastructure for robotics. We release the largest teleop dataset to date, and extensively investigate design decisions, pretraining, and post-training techniques. @arthurallshire @Cinnabar233 @adamrasb @redstone_hong @davidrmcall
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We are proud to release ABC-130K, the largest open bimanual manipulation dataset. ABC-130K includes 130K trajectories covering 200 complex manipulation tasks. All are performed on a low-cost bimanual rig (YAM by I2RT). The data is available under the highly permissive Apache 2.0 license.
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Headed to ICRA? We're hanging out with our friends at @BessemerVP on a boat, and you should join us! Come enjoy golden hour on the Danube with a small group of robotics researchers, founders and operators on Tuesday, June 2nd from 7pm-9pm. Link below πŸ”½
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