• DocumentCode
    3454755
  • Title

    Global navigation for ARK

  • Author

    Jenkin, M. ; Milios, E. ; Jasiobedzki, P. ; Bains, N. ; Tran, K.

  • Author_Institution
    Dept. of Comput. Sci., York Univ., North York, Ont., Canada
  • Volume
    3
  • fYear
    1993
  • fDate
    26-30 Jul 1993
  • Firstpage
    2165
  • Abstract
    ARK (Autonomous Robot for a Known environment), is a visually-guided mobile robot which is being constructed as part of the Precarn project in mobile robotics. ARK operates in a previously mapped environment and navigates with respect to visual landmarks that have been previously located. While the robot moves, it utilizes an active vision sensor to register the robot with respect to these landmarks. As the landmarks may be scarce in certain regions of its environment, ARK plans paths which minimize both path length and path uncertainty. The global path planner assumes that the robot will use a Kalman filter to integrate landmark information with odometry data to correct path deviations as the robot moves, and then uses this information to choose a path which reduces the expected path deviation
  • Keywords
    mobile robots; ARK; Kalman filter; Precarn project; active vision sensor; autonomous robot; global navigation; global path planner; known environment; odometry data; patch deviation correction; path length; path uncertainty; previously mapped environment; visual landmarks; visually-guided mobile robot; Computer science; Infrared sensors; Manufacturing industries; Mobile robots; Navigation; Path planning; Remotely operated vehicles; Robot sensing systems; Robot vision systems; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems '93, IROS '93. Proceedings of the 1993 IEEE/RSJ International Conference on
  • Conference_Location
    Yokohama
  • Print_ISBN
    0-7803-0823-9
  • Type

    conf

  • DOI
    10.1109/IROS.1993.583928
  • Filename
    583928