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Geometrically Bounded Singularities and Joint Limits Prevention of a Three Dimensional Planar Redundant Manipulator Using Artificial Neural Networks

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Emerging Intelligent Computing Technology and Applications (ICIC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 304))

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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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References

  1. Zheng-ou, W., Tao, Z.: An Efficient Learning Algorithm for Improving Generalization Performance of Radial Basis Function Neural Networks. Neural Networks 13, 545–553 (2000)

    Article  Google Scholar 

  2. Dubey, R.V., Euler, J.A., Babcock, S.M.: Real-Time Implementation of an Optimization Scheme for Seven-Degree-of-Freedom Redundant Manipulators. IEEE Transactions on Robotics and Automation 7(5), 579–588 (1991)

    Article  Google Scholar 

  3. Khalil, W., Dombre, E.: Modeling, Identification and Control of Robots. Hermes Penton Ltd. (2002)

    Google Scholar 

  4. Samer, Y., Moghavvemi, M., Mohamed, A.F.: A Review of Singularity Avoidance in the Inverse Kinematics of Redundant Robot Manipulators. International Review of Automatic Control 4(5), 807–814 (2011)

    Google Scholar 

  5. Samer, Y., Moghavvemi, M., Mohamed, A.F.: Geometrical Approach of Planar Hyper-Redundant Manipulators: Inverse Kinematics, Path Planning and Workspace. Simulation Modelling Practice and Theory 19(1), 406–422 (2011)

    Article  Google Scholar 

  6. 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

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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