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

  • Haiyan Wu
  • , Tianguang Zhang
  • , Alexander Borst
  • , Kolja Kühnlenz
  • , Martin Buss
  • Technical University of Munich
  • Max Planck Institute of Neurobiology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Robotics and Automation, ICRA '09
Pages345-350
Number of pages6
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Robotics and Automation, ICRA '09 - Kobe, Japan
Duration: 12 May 200917 May 2009

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference2009 IEEE International Conference on Robotics and Automation, ICRA '09
Country/TerritoryJapan
CityKobe
Period12/05/0917/05/09

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