Artificial Neural Networks in Robot Control Systems: A Survey Paper

Ş. Yıldınm; Ş. Sağıroğlu

doi:10.3390/mca7020103

Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Association for Scientific Research (ASR).

Article

1 August 2002

Artificial Neural Networks in Robot Control Systems: A Survey Paper

and

Robotic Research Lab., Mechanical Engineering Department, Engineering Faculty, Erciyes University, 38039, Kayseri, Turkey

Intelligent Systems Research Lab., Computer Engineering Department, Engineering Faculty, Erciyes University, 38039, Kayseri, Turkey

Author to whom correspondence should be addressed.

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

Version Notes

Order Reprints

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

Article Metrics

Citations

Article Access Statistics

Journal Statistics

Multiple requests from the same IP address are counted as one view.

Reference Points in Magnetic Measurements

Methods in Mathematica for Solving Ordinary Differential Equations