Sarah Harkins Dayton

Manifold Navigation Learning Using Recurrent Networks: Efficient Training Techniques

Position tracking is a well-studied problem in Euclidean navigation, yet comparatively little attention has been given to navigation on general manifolds, where motion is governed by the underlying geometry of the space. In this work, we formalize the problem of manifold navigation as a velocity-driven tracking task an...