566 search results - page 15 / 114 » Nonlinear Predictive Control with a Gaussian Process Model |
CDC
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract— We consider the problem of optimizing the trajectory of a mobile sensor with perfect localization whose task is to estimate a stochastic, perhaps multidimensional fiel...
NIPS
2000
15 years 1 months ago
2000
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
103
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NIPS
2007
15 years 1 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
110
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IROS
2007
IEEE
15 years 6 months ago
2007
IEEE
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
ICRA
2009
IEEE
15 years 6 months ago
2009
IEEE
— We suggest a new navigation approach to mobile robots, within a nonlinear model predictive control framework where a navigation function is used as a control Lyapunov function....