Panganamala Ramana Kumar

Feedback motion planning under non-Gaussian uncertainty and non-convex state constraints

Planning under process and measurement uncertainties is a challenging problem. In its most general form, it can be modeled as a Partially Observed Markov Decision Process (POMDP) problem. However POMDPs are generally difficult to solve when the underlying spaces are continuous, particularly when bel