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 :
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