• DocumentCode
    3016391
  • Title

    Explicit coordinated localization using common visual objects

  • Author

    Peula, J.M. ; Cebolla, J. ; Urdiales, C. ; Sandoval, F.

  • Author_Institution
    Dept. of Tecnol. Electron., Univ. de Malaga, Málaga, Spain
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    4889
  • Lastpage
    4894
  • Abstract
    Localization in multi-robot systems is a key problem in multi agent systems. In many cases, specially involving legged robots, like the Robocup soccer competition, it relies on predefined landmarks at known locations. However, when several objects are in motion, vision occlusions due to agents in the field of view make this kind of localization unfeasible for mild time periods. This also happens if landmarks are not within the field of view. This paper presents a technique to let a robot estimate its position with respect to objects or robots by sharing whatever visual data it has with its teammates. Shared data is used to estimate the relative positions of robots watching the same object via stereoscopy. The rest of the robots can be localized via triangulation and acquire information on the position of hidden or unknown objects that other members of the team can see. The system has been tested with two Aibo ERS 7 robots from Sony and an Aiball.
  • Keywords
    legged locomotion; multi-robot systems; position control; stereo image processing; Aibo ERS 7 robots; Robocup soccer competition; common visual objects; explicit coordinated localization; legged robots; multi-agent systems; multi-robot systems; position estimation; stereoscopy; triangulation; visual data sharing; Cameras; Legged locomotion; Multiagent systems; Multirobot systems; Navigation; Robot kinematics; Robot vision systems; Robotics and automation; System testing; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509398
  • Filename
    5509398