Investigating Forward kinematic Analysis of a 5-axes Robotic Manipulator using Denavit-Hartenberg Method and Artificial Neural Network

Robot Forward kinematic equations' analysis is an essential and important manner to analysis the position and orientation of the end effectors of a robotic manipulator, where in this paper, Denavit-Hartenberg notation and method (D – H) is used to represent the relative kinematic relationships...

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Bibliographic Details
Main Authors: Israa R. Shareef, Iman A. Zayer, Izzat A. Abd Al Kareem
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2014-10-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_100021_a582b1f1538e696b5dd2cf15e45e3cc3.pdf
Description
Summary:Robot Forward kinematic equations' analysis is an essential and important manner to analysis the position and orientation of the end effectors of a robotic manipulator, where in this paper, Denavit-Hartenberg notation and method (D – H) is used to represent the relative kinematic relationships precisely between each two adjacent links of this robot , besides a kind of artificial neural network (ANN) which is known as the supervised learning training sets network is investigated to solve the problem of kinematic analysis of this laboratory five - axes robot, it shows that the using of the artificial intelligence method which is the neural networks had offered the facility of dealing with this non linear robotic system by a simple manner with acceptable faster solution as compared with the traditional forward kinematic equations analysis method .
ISSN:1681-6900
2412-0758