• DocumentCode
    1797478
  • Title

    Multi-robots coverage approach

  • Author

    Chellali, Ryad ; Baizid, Khelifa

  • Author_Institution
    PAVIS, Ist. Italiano di Technologia Genova, Genoa, Italy
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we present a full and effective system allowing the deployment of N semi-autonomous robots in order to cover a given area for video surveillance and search purposes. The coverage problem is solved through a new technique based on the exploitation of Voronoi tessellations. To supervise a given area, a set of viewpoints are extracted, then visited by a group of mobile rover. Robots paths are calculated by resorting a salesman problem through Multi-objective Genetic Algorithms. In the running phase, robots deal with both motion and sensors uncertainties while performing the pre-established paths. Results of indoor scenario are given.
  • Keywords
    computational geometry; genetic algorithms; mobile robots; multi-robot systems; robot vision; video surveillance; Voronoi tessellations; mobile rover; multiobjective genetic algorithms; multirobot coverage approach; salesman problem; search purposes; semi-autonomous robots; video surveillance; Cameras; Conferences; Robot vision systems; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotic Intelligence In Informationally Structured Space (RiiSS), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/RIISS.2014.7009171
  • Filename
    7009171