@article{(Open Science Index):https://publications.waset.org/pdf/10004630, title = {Learning the Dynamics of Articulated Tracked Vehicles}, author = {Mario Gianni and Manuel A. Ruiz Garcia and Fiora Pirri}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Computer and Information Engineering}, volume = {10}, number = {6}, year = {2016}, pages = {1105 - 1108}, ee = {https://publications.waset.org/pdf/10004630}, url = {https://publications.waset.org/vol/114}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 114, 2016}, }