• DocumentCode
    3402513
  • Title

    Reliable navigation using landmarks

  • Author

    Becker, Craig ; Salas, Joaquìn ; Tokusei, Kentaro ; Latombe, Jean-Claude

  • Author_Institution
    Dept. of Comput. Sci., Stanford Univ., CA, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    21-27 May 1995
  • Firstpage
    401
  • Abstract
    Building a truly reliable mobile robot system-one that can navigate without failures for long periods of time (weeks or months)-requires making clear assumptions bounding uncertainty and enforcing those assumptions by appropriately engineering the robot and its workspace. Weak assumptions may result in low-cost engineering but make the navigation problem intractable. On the other hand, strict assumptions may simplify navigation but reduce the flexibility of the resulting system. The work presented in this paper investigates the tradeoff between “computational complexity” and “physical complexity” and advocates landmarks as a way of managing this tradeoff. We first define a formal navigation problem which incorporates enough assumptions to make it computationally tractable. We then use landmarks to enforce those assumptions. By implementing this system on our mobile robot we show that the assumptions are enforceable, that the engineering costs of using landmarks are acceptable, and that the resulting navigation system is both efficient and robust
  • Keywords
    computerised navigation; mobile robots; computational complexity; enforceable assumptions; intractable problem; landmarks; low-cost engineering; physical complexity; reliable mobile robot system; reliable navigation; uncertainty; weak assumptions; Costs; Laboratories; Mobile robots; Motion planning; Navigation; Reliability engineering; Robot sensing systems; Robustness; Strips; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
  • Conference_Location
    Nagoya
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-1965-6
  • Type

    conf

  • DOI
    10.1109/ROBOT.1995.525317
  • Filename
    525317