• DocumentCode
    86358
  • Title

    Of Bees, Birds, and uFFFDBots

  • Author

    Srinivasan, Mandyam V.

  • Author_Institution
    Queensland Brain Inst., Univ. of Queensland, St. Lucia, QLD, Australia
  • Volume
    34
  • Issue
    2
  • fYear
    2015
  • fDate
    March-April 2015
  • Firstpage
    20
  • Lastpage
    25
  • Abstract
    Flying insects and birds are surprisingly competent at moving and navigating in their environment, despite the fact that they possess brains that are very much smaller than our own and which carry far fewer neurons. Evidently these creatures are using vision sensors and principles of information processing and guidance that are not only effective, but also computationally simple. The past couple of decades have seen an increased interest in discovering the principles that underlie these behaviors and using them to create novel, biologically inspired vision systems for the guidance of aircraft. This article highlights some of the unexpected insights that biology has delivered about insect navigation and some of the useful applications of these insights to aircraft guidance.
  • Keywords
    aerospace robotics; aircraft landing guidance; mobile robots; robot vision; aircraft guidance; biologically inspired vision systems; flying birds; flying insects; insect navigation; vision sensors; Animals; Biological processes; Biomimetics; Birds; Research and development;
  • fLanguage
    English
  • Journal_Title
    Potentials, IEEE
  • Publisher
    ieee
  • ISSN
    0278-6648
  • Type

    jour

  • DOI
    10.1109/MPOT.2014.2372061
  • Filename
    7054040