• DocumentCode
    2381658
  • Title

    An explorative study of visual servo control with insect-inspired Reichardt-model

  • Author

    Wu, Haiyan ; Zhang, Tianguang ; Borst, Alexander ; Kühnlenz, Kolja ; Buss, Martin

  • Author_Institution
    Inst. of Autom. Control Eng. (LSR), Tech. Univ. Munchen, Munich, Germany
  • fYear
    2009
  • fDate
    12-17 May 2009
  • Firstpage
    345
  • Lastpage
    350
  • Abstract
    In this paper, an insect-inspired motion detector (Reichardt-model) is applied to visual servo control to ensure the stability of the system with high gain and time delay in its feedback. A Reichardt-based control scheme is compared with a conventional visual servoing approach. As a consequence of the specific velocity dependence of the Reichardt-model, the stability margin of the visual servo control is increased and high overall gains, thus, better performance are achievable. The response of the Reichardt-model in the experiment and the control performance of velocity control approach with the Reichardt-model in the closed loop are investigated. The velocity control model is tested on a 1-DOF linear motor module with different feedback gain and different time delay in the loop. The results of simulation and realtime experiments demonstrate the stabilizing character of the Reichardt-based approach.
  • Keywords
    biomimetics; closed loop systems; delays; end effectors; feedback; motion control; robot vision; servomechanisms; stability; velocity control; visual servoing; 1-DOF linear motor module; closed loop system; end effector; feedback gain; insect-inspired Reichardt-model; motion detector; stability; time delay; velocity control; visual servo control; visual servoing; Delay effects; Detectors; Feedback; Motion detection; Performance gain; Servosystems; Stability; Testing; Velocity control; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
  • Conference_Location
    Kobe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-2788-8
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2009.5152462
  • Filename
    5152462