• DocumentCode
    1711168
  • Title

    Multi-robot sensor-based coverage path planning using capacitated arc routing approach

  • Author

    Parlaktuna, Osman ; Sipahioglu, Aydin ; Kirlik, Gokhan ; Yazici, Ahmet

  • Author_Institution
    Electr. Eng. Dept., Eskisehir Osmangazi Univ., Eskisehir, Turkey
  • fYear
    2009
  • Firstpage
    1146
  • Lastpage
    1151
  • Abstract
    In this study, a novel sensor-based coverage algorithm is proposed for multi-robots considering energy capacities of the mobile robots. Firstly, the environment is modeled by a Generalized Voronoi diagram-based graph to guarantee complete sensor based coverage. Secondly, depending on required arc set, an initial complete coverage route is created by using Chinese postman problem (CPP) and/or rural postman problem (RPP). Then this initial route is partitioned among robots using Ulusoy´s algorithm, which was developed for basic capacitated arc routing (CARP), by considering robot energy capacities. Although the multi-robot sensor-based coverage problem resembles CARP, there are some differences. Therefore, Ulusoy´s algorithm is modified and used for this problem. The developed algorithm is coded in C++ and implemented on P3-DX mobile robots in MobileSim simulation environment.
  • Keywords
    computational geometry; graph theory; mobile robots; multi-robot systems; path planning; Chinese postman problem; Generalized Voronoi diagram-based graph; MobileSim simulation; P3-DX mobile robots; Ulusoy algorithm; capacitated arc routing approach; coverage path planning; multirobot sensor; robot energy capacities; rural postman problem; Costs; Energy consumption; Industrial engineering; Mobile robots; Orbital robotics; Partitioning algorithms; Path planning; Robot sensing systems; Routing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4244-4601-8
  • Electronic_ISBN
    978-1-4244-4602-5
  • Type

    conf

  • DOI
    10.1109/CCA.2009.5281159
  • Filename
    5281159