• DocumentCode
    389484
  • Title

    A swarm intelligence based approach to the mine detection problem

  • Author

    M, Vignmh Kumar ; Sahin, Ferat

  • Author_Institution
    Dept. of Electr. Eng., Rochester Inst. of Technol., NY, USA
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Abstract
    In this paper, we have applied a swarm intelligence based technique to a mine detection problem. Swarm intelligence techniques are used to model robotic agents to solve the problem. Studies made on the ant colonies, which is a typical member of the family of swarms, are applied in devising the techniques for the agents. Ant colony models bestow intelligence not only at the individual level, but more at the collective level (the interactions produced by the individual members in trying to solve a common problem). An analysis of the results obtained with a computer simulation of the mine detection is also presented.
  • Keywords
    landmine detection; military computing; mobile robots; multi-agent systems; object detection; weapons; ant colonies; artificial agents; artificial intelligence; military; mine detection problem; mobile individuals; robotic agents; swarm intelligence based approach; Animal behavior; Artificial intelligence; Birds; Computer simulation; Insects; Intelligent agent; Intelligent robots; Paper technology; Particle swarm optimization; Robot kinematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2002 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7437-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2002.1176013
  • Filename
    1176013