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.
Dettaglio pubblicazione
2016, WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, Pages 1105-1108 (volume: 10)
Learning the dynamics of articulated tracked vehicles (01a Articolo in rivista)
Gianni Mario, RUIZ GARCIA MANUEL ALEJANDRO, PIRRI ARDIZZONE Maria Fiora
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