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...
— 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...
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...
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...
— 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...