DocumentCode
1983281
Title
Recognition of contact state of arrayed type tactile sensor by using neural network
Author
Tanaka, Takaaki ; Makihira, Kenji ; Aoyagi, Seiji
Author_Institution
Dept. of Syst. Manage. Eng., Kansai Univ., Osaka, Japan
fYear
2005
fDate
27 June-3 July 2005
Abstract
In this research, the output of an arrayed type tactile sensor is simulated by using a finite element method. The information of this output is processed using a neural network, and the 14 types of objects are recognized. This recognition succeeded even if the contact position and the rotation angle of these objects are changed.
Keywords
finite element analysis; neural nets; object recognition; tactile sensors; arrayed type tactile sensor; finite element method; neural network; object recognition; Engineering management; Finite element methods; Neural networks; Neurons; Robot sensing systems; Robotic assembly; Sensor arrays; Shape; Systems engineering and theory; Tactile sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Acquisition, 2005 IEEE International Conference on
Print_ISBN
0-7803-9303-1
Type
conf
DOI
10.1109/ICIA.2005.1635050
Filename
1635050
Link To Document