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

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

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