• DocumentCode
    671665
  • Title

    A robot on-line area coverage approach based on the probabilistic Lloyd method

  • Author

    Rehder Batista, Murillo ; Calvo, Rodrigo ; Ap Francelin Romero, Roseli

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Sao Paulo, Sao Carlos, Brazil
  • fYear
    2013
  • fDate
    4-9 Aug. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Area Coverage is a standard problem in which Robotics techniques can be applied. An approach to solve this problem is through techniques based on Centroidal Voronoi Tesselations (CVT), considering that each robot is a generator used to build Voronoi polygons. In this work, a new approach named by Sample Lloyd Area Coverage System (SLACS), is proposed that does not need of the explicit building of the diagram based in the Probabilistic Lloyd method to estimate a Voronoi polygon´s centroid. In addition, it is proposed a method to close Voronoi diagrams to apply in a classic Lloyd CVT procedure. Both approaches are compared in empty and roomlike environments done in simulated tests using both Player interface and Stage simulator. Results obtained show that the proposed approach is well suited to solve the area coverage problem via mobile sensor deployment and it is a simple and effective substitute to a Lloyd CVT method.
  • Keywords
    computational geometry; mobile robots; probability; sensors; CVT; SLACS; Voronoi polygon centroid estimation; Voronoi polygons; centroidal Voronoi tesselations; mobile sensor deployment; player interface; probabilistic Lloyd method; robot online area coverage approach; robotics techniques; sample Lloyd area coverage system; stage simulator; Collision avoidance; Dispersion; Generators; Probabilistic logic; Robot kinematics; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2013 International Joint Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-6128-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2013.6707007
  • Filename
    6707007