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Inverse kinematic in SCARA manipulator based on RBF networks

  • Pan Xiang Rong*
  • , Jing Yang
  • , Lin Guo Hu
  • , Guang Fu Ma
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Harbin University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In this article we have provided a method of neural networks based on radial basis functions which is also named solving method of RBF (Radial Basis Function) neural network to deal with inverse kinematic. This method used some forward kinematic results of SCARA robot which Harbin Kelida Co Ltd provided as training samples, and mapping from workspace to joint space was obtained with iterative training, then calculation of inverse kinematic was achieved. It avoided complex process of formula deduction and programming calculation, its derivation was simple and its character of real time was good.

Original languageEnglish
Pages (from-to)303-305
Number of pages3
JournalDianji yu Kongzhi Xuebao/Electric Machines and Control
Volume11
Issue number3
StatePublished - May 2007

Keywords

  • Inverse kinematic
  • RBF neural network
  • SCARA manipulator

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