Math & Kinematics

Manifold

A manifold is a topological space that locally resembles Euclidean space, allowing calculus to be performed on curved spaces through local coordinate charts. Robot configuration spaces are manifolds: the orientation of a rigid body lives on SO(3), a full pose on SE(3), and a revolute joint's angle on the circle S1. Respecting manifold structure matters for interpolation, optimization, probability distributions, and filtering over robot states.

Why it matters for physical AI

Treating rotations and poses as flat vectors produces singularities and biased estimators; manifold-aware optimization and learning are prerequisites for numerically sound state estimation, motion planning, and policy action parameterizations.

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.