• DocumentCode
    1310918
  • Title

    Bioinspired Visuomotor Convergence

  • Author

    Humbert, James Sean ; Hyslop, Andrew Maxwell

  • Author_Institution
    Dept. of Aerosp. Eng., Univ. of Maryland, College Park, MD, USA
  • Volume
    26
  • Issue
    1
  • fYear
    2010
  • Firstpage
    121
  • Lastpage
    130
  • Abstract
    In this paper, wide-field integration methods, which are inspired by the spatial decompositions of wide-field patterns of optic flow in the insect visuomotor system, are explored as an efficient means to extract visual cues for guidance and navigation. A control-theoretic framework is developed and used to quantitatively link weighting functions to behaviorally-relevant interpretations such as relative orientation, position, and speed in a corridor environment. It is shown through analysis and demonstration on a ground vehicle that the proposed sensorimotor architecture gives rise to navigational heuristics, namely, centering and speed regulation, which are observed in natural systems.
  • Keywords
    robot vision; velocity control; bioinspired visuomotor convergence; centering; insect visuomotor system; optic flow; relative orientation; relative position; relative speed; sensorimotor architecture; spatial decompositions; speed regulation; visual cues extraction; Autonomous navigation; biologically inspired robots;
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2009.2033330
  • Filename
    5325584