• DocumentCode
    2099691
  • Title

    Hybrid vision-force robot control for tasks on unknown smooth surfaces

  • Author

    Leite, Antonio C. ; Lizarralde, Fernando ; Hsu, Liu

  • Author_Institution
    Dept. of Electr. Eng., Fed. Univ. of Rio de Janeiro
  • fYear
    2006
  • fDate
    15-19 May 2006
  • Firstpage
    2244
  • Lastpage
    2249
  • Abstract
    This work considers a hybrid force and vision control system for robotic manipulators using a force sensor and a fixed uncalibrated camera. A method is proposed to combine direct force control and adaptive visual servoing to perform tasks on unknown smooth surfaces, in the presence of uncertainties in the camera-robot system parameters. The considered task involves the visual tracking of a moving target, while the end-effector tip exerts a controlled contact force on the surface. Simulation results are presented to illustrate the performance of the proposed scheme
  • Keywords
    adaptive control; end effectors; force control; force sensors; image motion analysis; image sensors; adaptive visual servoing; camera-robot system; end-effector; force sensor; hybrid vision-force robot control; robotic manipulators; uncalibrated camera; unknown smooth surfaces; Cameras; Control systems; Force control; Force sensors; Machine vision; Manipulators; Programmable control; Robot control; Robot sensing systems; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-9505-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.2006.1642037
  • Filename
    1642037