• DocumentCode
    2937071
  • Title

    Robot navigation in simulated pedestrian areas based on swarm intelligence

  • Author

    Espelosín, Jesús ; Acosta, Leopoldo ; Hamilton, Alberto

  • Author_Institution
    Dept. de Ing. de Sist. y Autom. y Arquitectura y Tecnol. de Comput. (ISAATC), Univ. de La Laguna, La Laguna, Spain
  • fYear
    2012
  • fDate
    3-6 July 2012
  • Firstpage
    140
  • Lastpage
    144
  • Abstract
    In this paper we present a method that relies on swarm intelligence to confront the problem of navigating in non-structured dynamic environments. The collective behavior of a group of particles is used to find an obstacle-free path that is able to adapt its course as the structure of the environment changes. Of particular importance is the rule that governs collision avoidance in that it not only takes into account the positions of the obstacles, but also their velocities.
  • Keywords
    collision avoidance; mobile robots; multi-robot systems; pedestrians; collision avoidance; environment changes; non-structured dynamic environments; obstacle-free path; particles group; robot navigation; swarm intelligence-based simulated pedestrian areas; Collision avoidance; Force; Heuristic algorithms; Trajectory; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2012 20th Mediterranean Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-2530-1
  • Electronic_ISBN
    978-1-4673-2529-5
  • Type

    conf

  • DOI
    10.1109/MED.2012.6265628
  • Filename
    6265628