• DocumentCode
    1340017
  • Title

    Sensor-based control of AGVs

  • Author

    Brady, Michael ; Durrant-Whyte, Hugh ; Hu, Huosheng ; Leonard, John ; Probert, Penelope ; Rao, B.S.Y.

  • Author_Institution
    Oxford Univ., UK
  • Volume
    1
  • Issue
    2
  • fYear
    1990
  • fDate
    3/1/1990 12:00:00 AM
  • Firstpage
    64
  • Lastpage
    70
  • Abstract
    Summarises work on a number of related sensor-guided mobile robot projects at Oxford University. Two fundamental problems are discussed: navigation and obstacle avoidance. Beacons are central to navigation. Implemented systems are described that make different assumptions about the environment and use different beacons. An implemented system is also described that can sense and avoid obstacles on the fly, without stopping. It is based on a layered architecture. A fully decentralised Kalman filter has been applied to a number of sensor integration tasks, including, tracking an object visually as it moves around a room
  • Keywords
    automatic guided vehicles; computer vision; mobile robots; AGVs; Oxford University; beacons; decentralised Kalman filter; environment; layered architecture; moving object; navigation; obstacle avoidance; on the fly; sensor integration tasks; sensor-based control; sensor-guided mobile robot projects; visual tracking;
  • fLanguage
    English
  • Journal_Title
    Computing & Control Engineering Journal
  • Publisher
    iet
  • ISSN
    0956-3385
  • Type

    jour

  • Filename
    84388