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A neural approach to robotic haptic recognition of 3-D objects based on a Kohonen self-organizing feature map

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4 Author(s)
E. Faldella ; Dept. of Electron., Comput. & Syst. Sci., Bologna Univ., Italy ; B. Fringuelli ; D. Passeri ; L. Rosi

This paper describes a novel approach to robotic haptic recognition, which exploits an unsupervised Kohonen self-organizing feature map for performing a match-to-sample classification of three-dimensional (3-D) objects. The results obtained, even though currently referring to a simulated environment and to some working assumptions, have emphasized the validity of the approach and its applicability in a variety of dextrous robotic systems

Published in:

IEEE Transactions on Industrial Electronics  (Volume:44 ,  Issue: 2 )