• DocumentCode
    3096137
  • Title

    Adaptive force-motion control of coordinated robots interacting with geometrically unknown environments

  • Author

    Namvar, Mehrzad ; Aghili, Farhad

  • Author_Institution
    Canadian Space Agency, St. Hubert, Que., Canada
  • Volume
    3
  • fYear
    2004
  • fDate
    26 April-1 May 2004
  • Firstpage
    3061
  • Abstract
    Most studies on adaptive coordination of multi-robot systems assume exact knowledge of system kinematics and deal with dynamic uncertainties. However, many industrial applications involve tasks in which a multi-robot system interacts with geometrically unknown environments. In this paper we consider a multi-robot system grasping a rigid object which is in contact with a frictionless surface with unknown geometry. The proposed adaptive hybrid force-motion controller guarantees asymptotic tracking of desired motion and force trajectories while ensuring exact identification of tangential and normal directions to the constraining surface without persistency of excitation condition. The control signal is smooth and no projection is used in parameter update law. A simulation example is presented to illustrate the results.
  • Keywords
    adaptive control; force control; industrial manipulators; motion control; multi-robot systems; adaptive force-motion control; asymptotic tracking; coordinated robots; dynamic uncertainties; force trajectories; geometrically unknown environments; motion trajectories; multi-robot systems; system kinematics; Adaptive control; Electrical equipment industry; Force control; Geometry; Multirobot systems; Programmable control; Robot control; Robot kinematics; Service robots; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-8232-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2004.1307527
  • Filename
    1307527