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
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;
Conference_Titel :
Information Acquisition, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9303-1
DOI :
10.1109/ICIA.2005.1635050
