Control
Steady-State Error
Steady-state error is the residual difference between a control system's output and its reference as time goes to infinity, after transients have decayed. Its magnitude depends on system type and input class: a type-1 system has zero steady-state error to a step but finite error to a ramp, and integral action in PID control is the standard mechanism for eliminating constant offsets. Persistent disturbances such as gravity loading produce steady-state error unless compensated.
Why it matters for physical AI
A gripper that settles two millimeters from its target misses the grasp; integral compensation and gravity feedforward exist precisely to drive this error to zero on real arms.
Build physical AI
Put these concepts to work on real hardware
Axol is a dual-arm robot built for physical AI — teleoperate it, collect demonstrations, and deploy learned policies out of the box.