• DocumentCode
    2030704
  • Title

    Goal-oriented behaviour-based visual navigation

  • Author

    Cheng, Gordon ; Zelinsky, Alexander

  • Author_Institution
    Robotic Syst. Lab., Australian Nat. Univ., Canberra, ACT, Australia
  • Volume
    4
  • fYear
    1998
  • fDate
    16-20 May 1998
  • Firstpage
    3431
  • Abstract
    We describe a mobile robot system that performs goal-oriented visual navigation using a behaviour-based architecture. The system was constructed as a result of our previous research (Zelinsky et al. (1995)) into behaviour-based mobile robot systems. Since the system is implemented using real-time vision it is able to navigate in dynamic and unknown environments. The most important feature of this navigation system is that the mobile robot can learn to resolve conflicts between its own internal behaviours, such as moving to a goal while avoiding obstacles. Our robot is able to efficiently avoid obstacles while trying to reach a goal. Experimental results of an implementation on a Yamabico mobile robot are presented
  • Keywords
    learning systems; mobile robots; navigation; path planning; real-time systems; robot vision; Yamabico; behaviour-based navigation; goal-oriented navigation; learning system; mobile robot; obstacle avoidance; real-time system; visual navigation; Algorithm design and analysis; Australia; Cleaning; Laboratories; Mobile robots; Real time systems; Robot sensing systems; Solid modeling; Sonar navigation; Whales;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on
  • Conference_Location
    Leuven
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-4300-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.1998.680968
  • Filename
    680968