Riemannian Geometry

The study of curved (non-Euclidean) spaces equipped with a metric tensor. Robot configuration spaces (SO(3), SE(3)) are Riemannian manifolds. Riemannian optimization methods (geodesic gradient descent, parallel transport) operate directly on these manifolds without coordinate singularities. Relevant for rotation averaging, SLAM on manifolds, and learning on Lie groups.