%0 Journal Article
	%A Mario Gianni and  Manuel A. Ruiz Garcia and  Fiora Pirri
	%D 2016
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 114, 2016
	%T Learning the Dynamics of Articulated Tracked Vehicles
	%U https://publications.waset.org/pdf/10004630
	%V 114
	%X In this work, we present a Bayesian non-parametric
approach to model the motion control of ATVs. The motion control
model is based on a Dirichlet Process-Gaussian Process (DP-GP)
mixture model. The DP-GP mixture model provides a flexible
representation of patterns of control manoeuvres along trajectories
of different lengths and discretizations. The model also estimates the
number of patterns, sufficient for modeling the dynamics of the ATV.
	%P 1105 - 1108