Robust motion planning entails computing a global plan that is safe under all possible uncertainty realizations, be it in the system dynamics, robot’s initial position, or with respect to external disturbances. Current approaches for robust either lack theoretical guarantees, make restrictive assumptions on dynamics and distributions. In this paper, we address these limitations by proposing rap...