A NEURAL NETWORK FOR TACTILE SENSING - THE HERTZIAN CONTACT PROBLEM

被引：8

作者：

WORTH, AJ ^{[1
]}

SPENCER, RR ^{[1
]}

机构：

[1] UNIV CALIF DAVIS,DEPT ELECT ENGN & COMP SCI,SOLID STATE CIRCUITS RES LAB,DAVIS,CA 95616

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS | 1992年 / 22卷 / 01期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/21.141323

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A neural network has been developed for use in local closed-loop gripper control using a tactile sensor array. Back propagation is used to train a network with a single hidden layer to recognize the angle of contact between a cylindrical finger with an embedded sensor array and a cylindrical rod. Simulation results are presented and discussed.

引用

页码：177 / 182

页数：6

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