Neutral networks for tactile perception

Abstract
The real-time solution to a basic inverse problem of tactile perception is investigated. Regularized solutions of this problem are obtained by a neural-analog network. Favorable setting times and noise immunity are observed in simulations and breadboard level experiments.<>

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