• DocumentCode
    2354242
  • Title

    Recognizing object surface properties using impedance perception

  • Author

    Kikuuwe, Ryo ; Yoshikawa, Tsuneo

  • Author_Institution
    Dept. of Mech. Eng., Nagoya Inst. of Technol., Japan
  • fYear
    2003
  • fDate
    19-22 Oct. 2003
  • Firstpage
    251
  • Lastpage
    258
  • Abstract
    Using the impedance perception algorithm, which we previously proposed, the stiffness matrix that constrains the motion-force relation of the robot´s end-effector is obtained on-line. This paper describes two methods of extracting information on local properties of object surfaces from the stiffness matrix when the end-effector is slid on the surfaces. At the present time, the scope is limited to two classes of surfaces; flat and convex cylindrical surfaces. Since the proposed perception technique is designed separately from control strategies, and they can be used for both autonomous and remote controlled robots. Results of preliminary experiments are presented.
  • Keywords
    artificial intelligence; end effectors; feature extraction; matrix algebra; surface topography; convex cylindrical surfaces; flat surfaces; impedance perception; information extraction; motion-force relation; object surface properties recognition; remote controlled robots; robot end-effector; stiffness matrix; Automatic control; Data mining; Haptic interfaces; Humans; Mechanical engineering; Robotics and automation; Robots; Rough surfaces; Surface impedance; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Micromechatronics and Human Science, 2003. MHS 2003. Proceedings of 2003 International Symposium on
  • Print_ISBN
    0-7803-8165-3
  • Type

    conf

  • DOI
    10.1109/MHS.2003.1249944
  • Filename
    1249944