Control

Gravity Compensation

Gravity compensation is the application of joint torques that exactly cancel the gravitational loads on a robot's links, computed from the dynamics model as the configuration-dependent gravity vector, so the mechanism behaves as if weightless. It is the minimal model-based term in nearly every manipulator controller, enabling low-gain compliant behavior, kinesthetic teaching where a human freely repositions the arm, and safe zero-torque-like modes; passive designs use springs or counterweights.

Why it matters for physical AI

Gravity-compensated arms can be physically guided by hand, which is how much kinesthetic demonstration data is collected, and the compliance it permits is foundational to safe operation around people.

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.