Next Article in Journal
Line Shape and Profile of the LO Phonon Modes in Mixed Alloy System In1-x-yGaxAlyAs Epitaxial Layers Grown on InP
Previous Article in Journal
Application of Chebyshev Approximation in the Process of Variational Iteration Method for Solving Differentialalgebraic Equations
Article Menu

Article Versions

Export Article

Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on as a courtesy and upon agreement with the previous journal publisher.
Open AccessArticle
Math. Comput. Appl. 1998, 3(2), 67-81;

Artificial Neural Networks in Robotic Applications

Intelligent Systems Research Group, Contral and Computer Engineering Department, Engineering Faculty, Erciyes University, 38039, Kayseri, Turkey
Published: 1 August 1998
PDF [9201 KB, uploaded 1 April 2016]


There are a number of problems that their analytical solutions are difficult to obtain using conventional techniques in robotics. This-paper examines the use of Artificial Neural Networks (ANNs) as a new technique to solve such problems in the field of robotics.<br/>
This paper presents an overview on ANNs applications to robot kinematics, dynamics, control, trajectory and task planning, and sensing. Moreover, the advantages and disadvantages of using and implementing ANNs to the robotic problems are outlined.
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Sağıroğlu, Ş. Artificial Neural Networks in Robotic Applications. Math. Comput. Appl. 1998, 3, 67-81.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics



[Return to top]
Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top