Abstract
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.
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Samer, Y., Moghavvemi, M., Mohamed, A.F.: Singularity Avoidance of a Six Degree of Freedom Three Dimensional Redundant Planar Manipulator. Computers and Mathematics with Applications (accepted 2012), doi:10.1016/j.camwa.2011.12.073
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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: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_45
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DOI: https://doi.org/10.1007/978-3-642-31837-5_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31836-8
Online ISBN: 978-3-642-31837-5
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