Unraveling the Single Tangent Space Fallacy in Robot Learning

The author highlights the flaws of using a single tangent space for computations on Riemannian manifolds in robot learning applications, emphasizing the importance of leveraging multiple tangent spaces and parallel transport operators to capture the manifold's intricate geometry.