A first look at what we’re building at Sudo AI. Introducing #sudo R1.
We train robots entirely in simulation, then deploy them directly to hardware - no data collection, per-object tuning, or calibration.
In this first release shared in our blog, #sudo R1 runs 60 minutes uncut and reliably picks objects it has never seen before: glass, fabric, metal, irregular shapes - under changing lighting, clutter, and physical interference.
Simulation-trained systems rarely hold up in practice. We think that’s starting to change.
If you’re building in robotics or thinking about where this is going, follow along at sudo.ai
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