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Math. Comput. Appl. 1998, 3(2), 67-81; doi:10.3390/mca3020067

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
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Abstract

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).

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MDPI and ACS Style

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

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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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