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@xdofai
The infrastructure partner to the world's most ambitious robotics builders.
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Joined August 2024
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    XDOF
    @xdofai
    Jun 30
    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:
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    XDOF
    @xdofai
    Jun 23
    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% 🔥 Congrats to @QianzhongChen (XDOF intern) and co-authors: - @BrianZheng103 -
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    XDOF
    @xdofai
    Jun 18
    ABC: - Fully reproducible robotics stack ✅ - Largest open teleoperation dataset ✅ - Top trending dataset on @huggingface ✅ - >400 hrs of sim teleop data, evals dataset with full set of trials, more code coming soon ✅
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    Guanya Shi
    @GuanyaShi
    Jun 18
    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
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    XDOF
    @xdofai
    Jun 17
    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
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