• DocumentCode
    1932883
  • Title

    Flock identification using connected components labeling for multi-robot shepherding

  • Author

    Razali, Sazalinsyah ; Shamsudin, Nurul Fathiyah ; Osman, Mashanum ; Qinggang Meng ; Shuang-Hua Yang

  • Author_Institution
    Fac. of Inf. & Commun. Technol., Univ. Teknikal Malaysia Melaka, Durian Tunggal, Malaysia
  • fYear
    2013
  • fDate
    15-18 Dec. 2013
  • Firstpage
    298
  • Lastpage
    303
  • Abstract
    Shepherding is often used in robotics and applied to various domains such as military in Unmanned Aerial Vehicle (UAV) or Unmanned Ground Vehicle (UGV) combat scenarios, disaster rescue and even in manufacturing. Generally, robot shepherding refers to a task of a robot known as shepherd or sheep herder, who guards and takes care of flocks of sheep, to make sure that the flock is intact and protect them from predators. In order to make an accurate decision, the shepherd needs to identify the flock that needs to be managed. How does the shepherd can precisely identify a group of animals as a flock? How can one actually judge a flock of sheep, is a flock? How does the shepherd decide how to approach or to steer the flock? These are the questions that relates to flock identification. In this paper, a new method using connected components labeling is proposed to cater the problem of flock identification in multi-robot shepherding scenarios. The results shows that it is a feasible approach, and can be used when integrated with the Player/Stage robotics simulation platform.
  • Keywords
    multi-robot systems; UAV combat scenario; UGV combat scenario; connected component labeling; connected components labeling; disaster rescue; flock identification; manufacturing; military; multirobot shepherding; player/stage robotics simulation platform; unmanned aerial vehicle combat scenario; unmanned ground vehicle; Accuracy; Computational modeling; Image processing; Labeling; Pattern recognition; Robots; Testing; connected components labeling; flock identification; image processing; multi-robot shepherding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2013 International Conference of
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4799-3399-0
  • Type

    conf

  • DOI
    10.1109/SOCPAR.2013.7054147
  • Filename
    7054147