• DocumentCode
    665137
  • Title

    Reliable and efficient RFID-based localization for mobile robot

  • Author

    Hui Zhang ; Chen, Jiann-Jong ; Kai Zhang

  • Author_Institution
    Dept. of Ind. & Manuf. Eng. & Technol., Bradley Univ., Peoria, IL, USA
  • fYear
    2013
  • fDate
    21-23 Oct. 2013
  • Firstpage
    184
  • Lastpage
    189
  • Abstract
    This paper proposes a precise and low cost localization system for mobile robots by using Radio Frequency Identification (RFID) module and RFID tags. The localization system consists of the RFID reader, the RFID tags, a mobile robot and an off-board computer. The proposed system is developed to solve the problems of localization and guiding for mobile robots at home, service, industrial and defense applications by tracking RFID tags, analyzing received signal strength indication and taking other metric into consideration. The critical metric is the velocity of mobile robot, which has significant influence on localization system and is the novel feature for the localization system. Multiple regression model and fuzzy logic are compared to locate the mobile robot. The experiment results demonstrated that the fuzzy logic system can be used to build localization system to locate mobile robots more accurately than multiple regression model. This paper illustrates the design and performance analysis of low cost and high accuracy localization system.
  • Keywords
    fuzzy control; mobile robots; path planning; radiofrequency identification; regression analysis; velocity control; RFID module; RFID reader; RFID tags; RFID-based localization; fuzzy logic system; localization system; mobile robot; mobile robot velocity; multiple regression model; off-board computer; radiofrequency identification; received signal strength indication; robot guidance; robot localization; Analysis of variance; Fuzzy logic; Measurement; Mobile robots; RFID tags;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotic and Sensors Environments (ROSE), 2013 IEEE International Symposium on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4673-2938-5
  • Type

    conf

  • DOI
    10.1109/ROSE.2013.6698440
  • Filename
    6698440