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• W2161665557 abstract "Several intelligent features are embedded in the growing competitive linear local mapping neural network. They result in an adaptive, fast-learning, very efficient control scheme, suited for closed-loop systems. The use of the Moore-Penrose pseudoinverse allows us to generalize our results to nonredundant manipulators and to redundant visual features. Information acquired during the current movement can update the control matrix. Instead of learning the entire workspace, only one or a few trajectories can be learnt, in one pass per trajectory. The feedback loop and the fast convergence of RLS allow an active learning of the local Jacobians." @default.
• W2161665557 created "2016-06-24" @default.
• W2161665557 creator A5084514644 @default.
• W2161665557 creator A5091617835 @default.
• W2161665557 date "2002-11-27" @default.
• W2161665557 modified "2023-09-26" @default.
• W2161665557 title "Intelligent control with the growing competitive linear local mapping neural network for robotic hand-eye coordination" @default.
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• W2161665557 doi "https://doi.org/10.1109/kes.1998.725952" @default.
• W2161665557 hasPublicationYear "2002" @default.
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