Agility: Digit fleet variance needs calibration plus robust policies
From @TaoBuildsRobots earlier today: how do you deal with robot-to-robot variation across a fleet? Calibrate every Digit individually, or train policies robust enough not to care?
JH: Both. Minor variations exist in motor constant or robot component mass, that remain consistent once a robot is built, but may vary across the fleet; we believe these can be calibrated. But other features vary with time or temperature or other factors, and for those we must create policies that can handle the rando
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2026-10-22