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» Linear dynamic filtering with noisy input and output
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NIPS
1998
13 years 8 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 5 months ago
Kinematic control of nonholonomic mobile manipulators in the presence of steering wheels
— We consider the kinematic control problem for nonholonomic mobile manipulators (NMMs) whose base contains steering wheels. For all typical tasks, the steering velocity inputs o...
Alessandro De Luca, Giuseppe Oriolo, Paolo Robuffo...
ITCC
2003
IEEE
14 years 19 days ago
Cluster-Weighted Modeling as a basis for Fuzzy Modeling
The Cluster-Weighted Modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It is a mixture density estimator around local models. To be specific, the inpu...
Madasu Hanmandlu, Vamsi Krishna Madasu, Shantaram ...
ECAI
2010
Springer
13 years 8 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...
IROS
2008
IEEE
171views Robotics» more  IROS 2008»
14 years 1 months ago
Biomimetic grasp planning for cortical control of a robotic hand
— In this paper we outline a grasp planning system designed to augment the cortical control of a prosthetic arm and hand. A key aspect of this task is the presence of on-line use...
Matei T. Ciocarlie, Samuel T. Clanton, M. Chance S...