• DocumentCode
    559000
  • Title

    Complete coverage path planning for multi-robots based on

  • Author

    Janchiv, Adiyabaatar ; Batsaikhan, Dugarjav ; Kim, Gook Hwan ; Lee, Soon-Geul

  • Author_Institution
    Dept. of Mech. Eng., Kyung Hee Univ., Yongin, South Korea
  • fYear
    2011
  • fDate
    26-29 Oct. 2011
  • Firstpage
    824
  • Lastpage
    827
  • Abstract
    Complete coverage path planning is major problem for autonomous mobile robot, which concerns both efficiency and completeness of coverage. In this paper, a complete coverage path planning algorithm is proposed for two indoor floor-caring robots, such as cleaning or inspecting industrial and public floor areas, to have the minimal turning path based on the shape and size of the cell covering the whole working area. The proposed algorithm divides the whole cleaning area into cells by cellular decomposition method, and then provides efficient covering order over the cells based on distance among centroids of cells. It also provides more optimal coverage path and reduces the rate of energy consumption and working time. Both simulation and experimental results demonstrate the effectiveness of the algorithm. As compared performance indices between experiment and simulation, the total number of turns and the working time show the practical efficiency and robustness of the proposed algorithm.
  • Keywords
    cleaning; mobile robots; multi-robot systems; path planning; service robots; autonomous mobile robot; cellular decomposition method; cleaning area; coverage path planning; covering order; energy consumption; indoor floor-caring robots; minimal turning path; multirobots; optimal coverage path; working time; Algorithm design and analysis; Cleaning; Path planning; Robot kinematics; Robot sensing systems; Cellular Decomposition; Cleaning Robot; Complete Coverage Path Planning; Multi-robot; robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2011 11th International Conference on
  • Conference_Location
    Gyeonggi-do
  • ISSN
    2093-7121
  • Print_ISBN
    978-1-4577-0835-0
  • Type

    conf

  • Filename
    6106338