DocumentCode
1604174
Title
Remote Robot Training of Its Artificial Neural Network through GSM Communication
Author
Ramu, G. Venkat ; Hariprakash, R. ; Visalakshi, K. ; Ananthi, S. ; Padmanabhan, K.
Author_Institution
Univ. of Madras, Chennai
fYear
2008
Firstpage
355
Lastpage
358
Abstract
Without building new technology and involved hardware circuit boards, how to develop industrial artificial neural network (ANN) based robotic projects for enterprises is explained with special reference to GSM cell and robotic models. In the process of training to develop enterprise robots, one has to make use of all possible resources. Without the need for development of new circuits or methodology, existing devices, components and services can be used to develop a standard robotic project. There are many examples like traffic control, agricultural plantation and adaptive surveillance. The groundwork of technology for the above robot data collection and control is elucidated and schemes using simple readily available hardware for easy and quick rigging up of robotic systems is the theme of this paper.
Keywords
control engineering computing; neural nets; telerobotics; GSM communication; artificial neural network; hardware circuit boards; remote robot training; robot data collection; Adaptive control; Artificial neural networks; GSM; Industrial training; Neural network hardware; Printed circuits; Programmable control; Service robots; Standards development; Traffic control; Artificial Neural Network.GSM; GPRS network; Remote robot training;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Networks Communications, 2008. ICSNC '08. 3rd International Conference on
Conference_Location
Sliema
Print_ISBN
978-0-7695-3371-1
Type
conf
DOI
10.1109/ICSNC.2008.39
Filename
4693696
Link To Document