• DocumentCode
    399764
  • Title

    Line-of-sight task-space sensing for the localization of autonomous mobile devices

  • Author

    Nejat, Goldie ; Heerah, Imtehaze ; Benhabib, Beno

  • Author_Institution
    Dept. of Mechanical & Industrial Eng., Toronto Univ., Ont., Canada
  • Volume
    1
  • fYear
    2003
  • fDate
    27-31 Oct. 2003
  • Firstpage
    968
  • Abstract
    In this paper, a multi line-of-sight (LOS) task-space sensing methodology is presented for guidance-based localization of mobile devices (e.g., autonomous vehicles and robots). The mobility requirement of the localization/docking application dictates the minimum number and the type (planar or spatial) of the lines of sight. It is envisioned that, a multi-LOS sensing system will be configured for the task at hand using several, one or two degree-of-freedom (dof), sensing modules. One such module is also proposed in this paper: it comprises a laser source, a (1 or 2 dof) galvanometer mirror and a photodetector. A guidance algorithm would only be invoked at the final stages of vehicle/robotic-end-effector motion after the long-range positioning phase has failed to locate the vehicle at its desired pose (position and orientation). By utilizing a multi-LOS based sensing system the guidance algorithm would successfully minimize the systematic errors of the vehicle, while allowing it to converge to its desired pose within the random noise limits. This has been verified in both simulation and experiments, as presented herein.
  • Keywords
    end effectors; galvanometers; laser mirrors; mobile robots; path planning; photodetectors; autonomous mobile devices; degree-of-freedom sensing modules; galvanometer mirror; guidance-based localization; line-of-sight task-space sensing methodology; long-range positioning phase; photodetector; robotic-end-effector motion; Acoustic measurements; Acoustic sensors; Cameras; Dielectric measurements; Mobile computing; Mobile robots; Position measurement; Remotely operated vehicles; Robot sensing systems; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-7860-1
  • Type

    conf

  • DOI
    10.1109/IROS.2003.1250753
  • Filename
    1250753