Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees
This paper proposes an integration of surrogate modeling and topology to significantly reduce the amount of data required to describe the underlying global dynamics of robot controllers, including closed-box ones. A Gaussian Process (GP), trained with randomized short trajectories over the state-spa…