Geometrically bounded singularities and joint limits prevention of a three dimensional planar redundant manipulator using artificial neural networks
This paper presents an Artificial Neural Network (ANN) based on the nonlinear dynamical control of a three-dimensional six degrees of freedom planar redundant manipulator. An ANN controller is used for the computation of fast inverse kinematics, and is effective on geometrically bounded singularitie...
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um-97372017-11-23T02:45:57Z Geometrically bounded singularities and joint limits prevention of a three dimensional planar redundant manipulator using artificial neural networks Yahya, S. Moghavvemi, M. Almurib, H.A.F. TA Engineering (General). Civil engineering (General) This paper presents an Artificial Neural Network (ANN) based on the nonlinear dynamical control of a three-dimensional six degrees of freedom planar redundant manipulator. An ANN controller is used for the computation of fast inverse kinematics, and is effective on geometrically bounded singularities and joint limits prevention of redundant manipulators. The radial basis function neural network has been used to estimate the centrifugal and gravitational effects of the joints, when the end-effector follows a desired path. 2012-07 Conference or Workshop Item PeerReviewed Yahya, S.; Moghavvemi, M.; Almurib, H.A.F. (2012) Geometrically bounded singularities and joint limits prevention of a three dimensional planar redundant manipulator using artificial neural networks. In: 8th International Conference on Emerging Intelligent Computing Technology and Applications, ICIC 2012, 25-29 July 2012, Huangshan, China. http://eprints.um.edu.my/9737/ |
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University Malaya |
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TA Engineering (General). Civil engineering (General) |
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TA Engineering (General). Civil engineering (General) Yahya, S. Moghavvemi, M. Almurib, H.A.F. Geometrically bounded singularities and joint limits prevention of a three dimensional planar redundant manipulator using artificial neural networks |
description |
This paper presents an Artificial Neural Network (ANN) based on the nonlinear dynamical control of a three-dimensional six degrees of freedom planar redundant manipulator. An ANN controller is used for the computation of fast inverse kinematics, and is effective on geometrically bounded singularities and joint limits prevention of redundant manipulators. The radial basis function neural network has been used to estimate the centrifugal and gravitational effects of the joints, when the end-effector follows a desired path. |
format |
Conference or Workshop Item |
author |
Yahya, S. Moghavvemi, M. Almurib, H.A.F. |
author_facet |
Yahya, S. Moghavvemi, M. Almurib, H.A.F. |
author_sort |
Yahya, S. |
title |
Geometrically bounded singularities and joint limits prevention of a three dimensional planar redundant manipulator using artificial neural networks |
title_short |
Geometrically bounded singularities and joint limits prevention of a three dimensional planar redundant manipulator using artificial neural networks |
title_full |
Geometrically bounded singularities and joint limits prevention of a three dimensional planar redundant manipulator using artificial neural networks |
title_fullStr |
Geometrically bounded singularities and joint limits prevention of a three dimensional planar redundant manipulator using artificial neural networks |
title_full_unstemmed |
Geometrically bounded singularities and joint limits prevention of a three dimensional planar redundant manipulator using artificial neural networks |
title_sort |
geometrically bounded singularities and joint limits prevention of a three dimensional planar redundant manipulator using artificial neural networks |
publishDate |
2012 |
url |
http://eprints.um.edu.my/9737/ |
first_indexed |
2018-09-06T05:45:19Z |
last_indexed |
2018-09-06T05:45:19Z |
_version_ |
1610835788724961280 |