• DocumentCode
    495936
  • Title

    Assigning virtual tool dynamics to an industrial robot through an admittance controller

  • Author

    Ferretti, Gianni ; Magnani, GianAntonio ; Rocco, Paolo

  • Author_Institution
    Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
  • fYear
    2009
  • fDate
    22-26 June 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Teaching a task to an industrial robotic manipulator can be done using either programming languages or ldquoteaching by showingrdquo techniques, where the operator drives the robot to prescribed positions using a teach pendant. An evolution of these techniques consists in the operator physically and safely interacting with the robot, by manually guiding its end-effector. Teaching of certain operations like spray painting is much more effective in this way. The present paper addresses this scenario, contributing with an exact formulation of the dynamics of the virtual tool, i.e. the tool whose dynamics the operator should feel when interacting with the robot. An admittance controller driven by the measurements of a force/torque sensor is designed in order to ensure that this virtual dynamic behavior is achieved. Experiments on an industrial robot are shown and discussed.
  • Keywords
    control engineering computing; end effectors; force sensors; industrial robots; manipulator dynamics; painting; robot programming; spray coating techniques; virtual reality; admittance controller; end-effector; force sensor; industrial robotic manipulator; programming languages; spray painting; teaching by showing techniques; torque sensor; virtual dynamic behavior; virtual tool dynamics; Admittance; Computer languages; Education; Educational robots; Force measurement; Industrial control; Manipulator dynamics; Robot sensing systems; Service robots; Spraying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Robotics, 2009. ICAR 2009. International Conference on
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4244-4855-5
  • Electronic_ISBN
    978-3-8396-0035-1
  • Type

    conf

  • Filename
    5174700