• DocumentCode
    2912353
  • Title

    Unifying exploration, localization, navigation and planning through a common representation

  • Author

    Schultz, Alan C. ; Adams, William ; Yamauchi, Brian ; Jones, Mike

  • Author_Institution
    Center for Appl. Res. in Artificial Intelligence, Naval Res. Lab., Washington, DC, USA
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2651
  • Abstract
    The major themes of our research include the creation of mobile robot systems that are robust and adaptive in rapidly changing environments and the view of integration as a basic research issue. Where reasonable, we try to use the same representations to allow different components to work more readily together and to allow better and more natural integration of and communication between these components. In this paper, we describe our most recent work in integrating mobile robot exploration, localization, navigation, and planning through the use of a common representation, evidence grids
  • Keywords
    adaptive control; computerised navigation; mobile robots; planning; robust control; common representation; evidence grids; exploration; localization; navigation; planning; robust adaptive mobile robot systems; Artificial intelligence; Bayesian methods; Fuses; Laser modes; Mobile communication; Mobile robots; Navigation; Robustness; Sensor fusion; Sonar measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5180-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1999.773998
  • Filename
    773998