Type-2 fuzzy logic identification applied to the modeling of a robot hand

Abstract

In this work, a new application for robot hand identification using type-2 fuzzy intervals is presented. Type-2 identification method by using only input-output data determines the parameters of upper and lower membership functions of interval sets. The identification method was successfully applied to the modeling of a robot hand Moreover, we show how a type-2 fuzzy model improves the description of the robot hand in comparison with type-1 fuzzy model, if uncertain inputs are considered.