• DocumentCode
    1597438
  • Title

    A new control algorithm based on tactile and slippage sensation for robotic hand

  • Author

    Yussof, Hanafiah ; Wada, Jiro ; Ohka, Masahiro

  • Author_Institution
    Grad. Sch. of Inf. Sci., Nagoya Univ., Nagoya, Japan
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a new control algorithm in robotic hand based on tactile and slippage sensations. Optical three-axis tactile sensor is used as tactile sensing device at the robot hand system to acquire tactile and slippage information. The tactile sensor is based on optical waveguide transduction method that capable of defining normal and shear forces simultaneously. The proposed algorithm consists of robot arm and hand controls based on parameters of normal and shear force, and slippage detection. Direction of slippage distribution was analyzed and used to select accurate hand motion and timing to grasp and release object. In addition, communication algorithm between robot arm and hand was presented with improvement of flag analyzer and velocity generator algorithm in the robot control system. The proposed algorithm was evaluated in experiment of grasp and twist motion. The experiment result shows robot arm and hand managed to perform all motions smoothly, which revealed good performance of the proposed control algorithm.
  • Keywords
    manipulators; optical waveguides; tactile sensors; communication algorithm; flag analyzer; hand control; optical three-axis tactile sensor; optical waveguide transduction method; robot arm; robot control system; robot hand system; robotic hand; shear forces; slippage detection; slippage sensation; tactile sensation; velocity generator algorithm; Fingers; Force; Optical sensors; Tactile sensors; Tactile sensor; control algorithm; robot grasping; robot hand; slippage sensation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2010
  • Conference_Location
    Kobe
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4244-9673-0
  • Electronic_ISBN
    2154-4824
  • Type

    conf

  • Filename
    5665722