• DocumentCode
    2169622
  • Title

    Wireless Localization Networks for Indoor Service Robots

  • Author

    Ahn, Hyo-Sung ; Yu, Wonpil

  • Author_Institution
    Dept. of Mechatron., Gwangju Inst. of Sci. & Technol. (GIST), Gwangju
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    65
  • Lastpage
    70
  • Abstract
    This paper presents wireless localization networks for locating stationary object in an indoor office environment. Actual experimental test results based on UWB (IEEE 802.15.4a), WLAN (IEEE 802.11), and ZigBee (IEEE 802.15.4) are briefly presented and advantages and disadvantages of each method are also addressed. A new method based on received-signal strength index (RSSI) of radio signals emitted from fixed reference nodes is outlined. In the new method, mobile reference tags are used to detect signal strength accurately so that reliable signal propagation model can be produced.
  • Keywords
    indoor radio; mobile robots; path planning; service robots; wireless sensor networks; IEEE 802.11 WLAN; IEEE 802.15.4 ZigBee; IEEE 802.15.4a UWB; indoor office environment; indoor service robot; location-based service; mobile reference tag; mobile robot; motion planning; received-signal strength index; reliable signal propagation model; signal strength detection; stationary object location; ubiquitous robotic space; wireless localization network; wireless sensor network-based indoor localization; Intelligent robots; Intelligent sensors; Orbital robotics; Robot kinematics; Robot sensing systems; Robotics and automation; Service robots; Space technology; Wireless sensor networks; ZigBee; Indoor localization; Location-based service (LBS); Received signal strength index (RSSI); Ubiquitous robotic space (URS); Wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechtronic and Embedded Systems and Applications, 2008. MESA 2008. IEEE/ASME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2367-5
  • Electronic_ISBN
    978-1-4244-2368-2
  • Type

    conf

  • DOI
    10.1109/MESA.2008.4735721
  • Filename
    4735721