• DocumentCode
    2346899
  • Title

    Vision Based Robot Control Using Position Specific Artificial Neural Network

  • Author

    Pei, Jin ; Yang, Simon X. ; Mittal, Gauri S.

  • Author_Institution
    Sch. of Eng., Univ. of Guelph, Guelph, ON, Canada
  • fYear
    2010
  • fDate
    26-28 Nov. 2010
  • Firstpage
    110
  • Lastpage
    115
  • Abstract
    A new simpler vision based robot control system is proposed characterized which position specific artificial neural network (ANN) and end-effecter integrated camera system. Position specific ANN avoids the difficulty of covering the whole joint space with changing parameters using one set of ANN, and end-effecter integrated camera system makes the image of an object consistent when the end-effecter approaches the object. The image can be directly used as feedback. Simulation shows that the system works smoothly, and converges in limited steps. The algorithm simplifies the model of vision based robot manipulator control system, and improves the control accuracy and response time.
  • Keywords
    cameras; end effectors; feedback; neural nets; position control; robot vision; end-effecter integrated camera system; position specific ANN; position specific artificial neural network; vision based robot manipulator control system; Neural Networks; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2010 International Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4244-8653-3
  • Electronic_ISBN
    978-0-7695-4254-6
  • Type

    conf

  • DOI
    10.1109/CICN.2010.33
  • Filename
    5701947