@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},
	}