Solving Continuous Trajectory and Forward Kinematics Simultaneously Based on ANN

Authors

  • Chun Kit Ang Universiti Putra Malaysia
  • Sai Hong Tang Universiti Putra Malaysia Department of Mechanical and Manufacturing Engineering, Faculty of Engineering
  • Syamsiah Mashohor Universiti Putra Malaysia Department of Mechanical and Manufacturing Engineering, Faculty of Engineering
  • Mohd Khairol Anuar Mohd Arrifin Universiti Putra Malaysia Department of Mechanical and Manufacturing Engineering, Faculty of Engineering

Keywords:

Artificial Neural Network (ANN), back propagation neural network, forward kinematics, continuous trajectory

Abstract

Robot movement can be predicted by incorporating Forward Kinematics
(FK) and trajectory planning techniques. However, the calculations will become
complicated and hard to be solved if the number of specific via points is increased.
Thus, back-propagation artificial neural network is proposed in this paper to overcome
this drawback due to its ability in learning pattern solutions. A virtual 4-degree
of freedom manipulator is exploited as an example and the theoretical results are
compared with the proposed method.

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Published

2014-04-04

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