The Inverse Solution Of Dexterous Robot By Using Neural Networks
The inverse kinematics of redundant manipulators has infinite solutions by using conventional methods, so that, this work presents applicability of intelligent tool (artificial neural network ANN) for finding one desired solution from these solutions. The inverse analysis and trajectory planning of...
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Al-Khwarizmi College of Engineering – University of Baghdad
2007
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oai:doaj.org-article:ead06f8ee78240aaa229db9d814090d92021-12-02T07:35:48ZThe Inverse Solution Of Dexterous Robot By Using Neural Networks1818-1171https://doaj.org/article/ead06f8ee78240aaa229db9d814090d92007-01-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=24860https://doaj.org/toc/1818-1171The inverse kinematics of redundant manipulators has infinite solutions by using conventional methods, so that, this work presents applicability of intelligent tool (artificial neural network ANN) for finding one desired solution from these solutions. The inverse analysis and trajectory planning of a three link redundant planar robot have been studied in this work using a proposed dual neural networks model (DNNM), which shows a predictable time decreasing in the training session. The effect of the number of the training sets on the DNNM output and the number of NN layers have been studied. Several trajectories have been implemented using point to point trajectory planning algorithm with DNNM and the result shows good accuracy of the end effector position for the desired trajectory. Samer Yahya HadiBahaa Ibraheem KazemAl-Khwarizmi College of Engineering – University of Baghdadarticleinverse kinematicsroboticsneural networkChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 3, Iss 1, Pp 1-11 (2007) |
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inverse kinematics robotics neural network Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 |
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inverse kinematics robotics neural network Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Samer Yahya Hadi Bahaa Ibraheem Kazem The Inverse Solution Of Dexterous Robot By Using Neural Networks |
description |
The inverse kinematics of redundant manipulators has infinite solutions by using conventional methods, so that, this work presents applicability of intelligent tool (artificial neural network ANN) for finding one desired solution from these solutions. The inverse analysis and trajectory planning of a three link redundant planar robot have been studied in this work using a proposed dual neural networks model (DNNM), which shows a predictable time decreasing in the training session. The effect of the number of the training sets on the DNNM output and the number of NN layers have been studied. Several trajectories have been implemented using point to point trajectory planning algorithm with DNNM and the result shows good accuracy of the end effector position for the desired trajectory. |
format |
article |
author |
Samer Yahya Hadi Bahaa Ibraheem Kazem |
author_facet |
Samer Yahya Hadi Bahaa Ibraheem Kazem |
author_sort |
Samer Yahya Hadi |
title |
The Inverse Solution Of Dexterous Robot By Using Neural Networks |
title_short |
The Inverse Solution Of Dexterous Robot By Using Neural Networks |
title_full |
The Inverse Solution Of Dexterous Robot By Using Neural Networks |
title_fullStr |
The Inverse Solution Of Dexterous Robot By Using Neural Networks |
title_full_unstemmed |
The Inverse Solution Of Dexterous Robot By Using Neural Networks |
title_sort |
inverse solution of dexterous robot by using neural networks |
publisher |
Al-Khwarizmi College of Engineering – University of Baghdad |
publishDate |
2007 |
url |
https://doaj.org/article/ead06f8ee78240aaa229db9d814090d9 |
work_keys_str_mv |
AT sameryahyahadi theinversesolutionofdexterousrobotbyusingneuralnetworks AT bahaaibraheemkazem theinversesolutionofdexterousrobotbyusingneuralnetworks AT sameryahyahadi inversesolutionofdexterousrobotbyusingneuralnetworks AT bahaaibraheemkazem inversesolutionofdexterousrobotbyusingneuralnetworks |
_version_ |
1718399374281670656 |