• DocumentCode
    327703
  • Title

    An insect-based approach to robotic homing

  • Author

    Weber, Keven ; Venkatesh, Svetha ; Srinivasan, M.V.

  • Author_Institution
    Dept. of Comput. Sci., Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    1
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    297
  • Abstract
    Many animals, including insects, successfully engage in visual homing. We describe a system that allows a mobile robot to home. Specifically we propose a simple extension to our original homing scheme which significantly improves its performance by incorporating a richer view of the environment. The addition of landmark apparent-size cues assists homing by providing a more robust homing vector as well as providing a simple and effective method of reinforcing landmark avoidance. The homing algorithm allows a mobile robot to incrementally home by moving in such a way as to gradually reduce the discrepancy between the current view and the view obtained from the home position. Both simulation and mobile robot experiments are used to demonstrate the feasibility of this approach. By matching the bearings of features extracted from panoramic views and using a vector summation technique to compute a homing vector we are able to provide a simple, parsimonious and robust robotic homing algorithm
  • Keywords
    collision avoidance; feature extraction; mobile robots; robot vision; insect-based approach; landmark apparent-size cues; landmark avoidance; panoramic views; robotic homing; vector summation technique; visual homing; Animals; Australia; Batteries; Biology; Computer science; Insects; Navigation; Nervous system; Read only memory; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711140
  • Filename
    711140