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

被引：3
|
作者：
Faldella, E
Fringuelli, B
Passeri, D
Rosi, L
机构：
[1] Department of Electronics, Computer, and System Science, University of Bologna
来源：
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 1997年 / 44卷 / 02期
关键词：
haptic recognition; high-dexterity robotic hands; neural networks;
D O I：
10.1109/41.564167
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：267 / 269
页数：3
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