Cowan, Noah JKoditschek, Daniel E2023-05-222023-05-221998-05-162008-06-02https://repository.upenn.edu/handle/20.500.14332/33576We describe work-in-progress toward a nonlinear image-based rigid body dynamic triangulator which we believe tracks a moving target from "essentially all" initial conditions (all initial conditions except a set of measure zero). The dynamic triangulator depends on the goal state only through its image plane position and velocity and requires a navigation function, imposed directly upon image features, to serve as a regressor for a gradient-like state update law.GRASPKodlabPresentation