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Math. Comput. Appl. 2002, 7(2), 103-112; doi:10.3390/mca7020103

Artificial Neural Networks in Robot Control Systems: A Survey Paper

1
Robotic Research Lab., Mechanical Engineering Department, Engineering Faculty, Erciyes University, 38039, Kayseri, Turkey
2
Intelligent Systems Research Lab., Computer Engineering Department, Engineering Faculty, Erciyes University, 38039, Kayseri, Turkey
*
Author to whom correspondence should be addressed.
Published: 1 August 2002
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Abstract

This paper presents an overview on applications of artificial neural networks (ANNs) to robot control systems and outlines the contributions of ANNs. Adaptive neurocontrol architectures are introduced and compared to traditional adaptive control methods.
Keywords: Artificial neural networks; control; adaptive control; robot control systems Artificial neural networks; control; adaptive control; robot control systems
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Yıldınm, Ş.; Sağıroğlu, Ş. Artificial Neural Networks in Robot Control Systems: A Survey Paper. Math. Comput. Appl. 2002, 7, 103-112.

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Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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