• DocumentCode
    2721767
  • Title

    CPPA: A Fast Coverage Algorithm

  • Author

    Surve, Sunil ; Singh, N.M. ; Lande, B.K.

  • Author_Institution
    VJTI Mumbai, Mumbai
  • Volume
    2
  • fYear
    2007
  • fDate
    13-15 Dec. 2007
  • Firstpage
    151
  • Lastpage
    158
  • Abstract
    Most of the coverage path planning algorithms are based on the back-and-forth motions of the robot. Back and forth motion forces the robot to take sharp turns. The turns take significant time: the robot must slow down, orient in reverse direction and then accelerate. This is the major limitation of the approaches based on the back-and-forth motion. In this paper, coverage path planning algorithm (CPPA) is proposed which minimizes the coverage time by using the curvature path. It is based on cellular decomposition and curvature path planning algorithm based on maximum curvature constraints. The limitation of this approach is that it is applicable to relatively large environment. Therefore, this algorithm is more suitable for the applications like plowing, bridge inspection, landmine search, etc. This approach is compared with algorithm based on back-and-forth motion and it is found that this approach covers the environment faster than the algorithm based on back-and-forth motion.
  • Keywords
    curve fitting; mobile robots; motion control; path planning; CPPA; back-and-forth motion; cellular decomposition; coverage path planning algorithms; curvature path planning algorithm; fast coverage algorithm; maximum curvature constraints; robot motion; Acceleration; Cities and towns; Computational intelligence; Costs; Orbital robotics; Path planning; Robot sensing systems; Service robots; Space technology; Traveling salesman problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
  • Conference_Location
    Sivakasi, Tamil Nadu
  • Print_ISBN
    0-7695-3050-8
  • Type

    conf

  • DOI
    10.1109/ICCIMA.2007.90
  • Filename
    4426686