Tactile Sensing System Using Artificial Neural Networks

C Karthik Raj, A Revanth, K Karthick

Abstract


Object Identification plays an important role in various applications  ranging from robotics to computer vision. Artificial Neural Network (ANN) is being used for in various pattern recognition applications due to the advantages of ability as well as adaptability to learn. This paper presents identification of object independent to size, position and orientation using the concept of ANN and moments. The image of the object is taken with the help of the tactile sensing system. This paper describes the complete hardware and software concepts of the system for the object identification with the help of ANN.


Keywords


Tactile sensing, Object orientation, force sensing sites.

References


Prasant Kumar Patra, Neural network for invariant image Classification, Journal of the IETE, vol 42, nos4-5, pp 282-290, July-October 1994.

R.P.L. Rectier, Tactile Imaging, Security and Actuators, A (1992) pp 83-89.

G.J. Awcock & R.Thomas , Applied image processing, McGraw Hill , pp162-166

Elepart &Bobbins (Eds), Neural Network PC Tools A practical guide

Philip D.Wasserman ANZA Research, Inc Neural Computing


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