• DocumentCode
    1966024
  • Title

    Multi-robot pursuit with visibility constraints

  • Author

    Urtis, Esra Kadioglu ; Papanikolopoulos, Nikolaos

  • Author_Institution
    Comput. Eng. Dept., Univ. of Econ. & Technol., Ankara, Turkey
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    274
  • Lastpage
    279
  • Abstract
    We address the problem of pursuing a moving target from multiple angles using multiple mobile robots. The pursuer uses a modified form of pursuit curve in order to reach the multiple aim points which are at a pre-determined distance and angle from the target. This is different from existing works that track a target to localize it, follow a target by keeping it in the current frame of view generally from behind the target, or pursue a target in order to establish a line of sight. The focus in our work is on an efficient pursuit of the target such that the pursuers move to a position in order to obtain certain task specific information or perform actions that require specific positioning with respect to the target. Examples include following a target and taking left, right, and frontal images of it for accurate identification, or robots approaching a vehicle for docking, etc. In this paper, we define the multi-angle pursuit problem for multiple robots and present a Pareto optimal solution for task allocation.
  • Keywords
    Pareto optimisation; mobile robots; multi-robot systems; robot vision; target tracking; Pareto optimal solution; multiangle pursuit problem; multiple mobile robots; multirobot pursuit; target tracking; task allocation; visibility constraints; Cameras; Computer science; Computer vision; Cost function; Distributed computing; Focusing; Mobile robots; Robot sensing systems; Robot vision systems; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Sciences, 2009. ISCIS 2009. 24th International Symposium on
  • Conference_Location
    Guzelyurt
  • Print_ISBN
    978-1-4244-5021-3
  • Electronic_ISBN
    978-1-4244-5023-7
  • Type

    conf

  • DOI
    10.1109/ISCIS.2009.5291826
  • Filename
    5291826