• DocumentCode
    3288915
  • Title

    Extraction of relative proximity from electrostatic images using Wide-Field Integration methods

  • Author

    Dimble, K.D. ; Faddy, J.M. ; Humbert, J.S.

  • Author_Institution
    Dept. of Aerosp. Eng., Univ. of Maryland, College Park, MD, USA
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    6004
  • Lastpage
    6009
  • Abstract
    Weakly electric fish use a self-generated electric field to interrogate the environment around them for obstacles, predators, and prey. These objects appear as spatial perturbations to an electric image formed by electro-receptors which are distributed over their bodies. The influence on an electric image, formed on a simulation model, due to the proximity of wide-field obstacles is derived here from standard principles of electrostatics. Wide-Field Integration (WFI) methods are then applied to perturbed electric images to extract relative position and orientation information, and a static output feedback methodology is presented to achieve local unmapped reflexive obstacle avoidance.
  • Keywords
    collision avoidance; electrostatic actuators; feedback; mobile robots; perturbation theory; robot vision; underwater vehicles; WFI method; electro-receptor; electrostatic image; orientation information; perturbed electric image; position information; predator; prey; relative proximity; self-generated electric field; spatial perturbation; static output feedback; unmapped reflexive obstacle avoidance; weakly electric fish; wide-field integration; wide-field obstacle; Electric variables measurement; Electrostatics; Image sensors; Lighting; Marine animals; Output feedback; Robot sensing systems; Signal processing; Sonar navigation; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531269
  • Filename
    5531269