• DocumentCode
    478294
  • Title

    Environment Perception of Mobile Manipulator System Based on Multi-Sensor Information Fusion

  • Author

    Gao, Chunyan ; Zhang, Minglu ; Liu, Ruisu

  • Author_Institution
    Sch. of Mech. Eng., Hebei Univ. of Technol., Tianjin
  • Volume
    4
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    383
  • Lastpage
    389
  • Abstract
    Research in mobile manipulators has reached a level of maturity where they can be expected to efficiently perform complex missions involving searching for gas leaks, hazardous chemicals and pollutant sources. The methods based on multi-source information fusion is effective means for its independent operations. This paper discusses the perception systems for HEBUT- II mobile manipulator system. Firstly, the fusion method of visual and ultrasonic information has been applied to localization of the end-effector. Secondly, based on the ultrasonic array of the mobile platform, a fuzzy control method was adopted to achieve its obstacle-avoidance motion. Experimental results verified the validity of the algorithm and strategy. Through above means, the mobile manipulator system could achieve preferable perception of target object its surrounding environment.
  • Keywords
    collision avoidance; end effectors; environmental factors; fuzzy control; mobile robots; motion control; sensor fusion; HEBUT- II mobile manipulator system; end-effector localization; environment perception; fuzzy control; multisensor information fusion; obstacle-avoidance motion; ultrasonic information; visual information; Artificial intelligence; Artificial neural networks; Chemical technology; Fuzzy control; Kinematics; Manipulator dynamics; Mechanical engineering; Mobile computing; Navigation; Sensor systems; environment perception; mobile manipulator; multi-sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.474
  • Filename
    4667310