• DocumentCode
    2003742
  • Title

    A neuro-fuzzy solution for fine-motion control based on vision and force sensors

  • Author

    Von Collani, Yorck ; Zhang, Jianwei ; Knoll, Alois

  • Author_Institution
    Dept. of Tech. Comput. Sci., Bielefeld Univ., Germany
  • Volume
    4
  • fYear
    1998
  • fDate
    16-20 May 1998
  • Firstpage
    2965
  • Abstract
    In this paper the use of a B-spline neuro-fuzzy model for different tasks such as vision-based fine-positioning and force control is presented. It is shown that neuro-fuzzy controllers can be used not only for low-dimensional problems like force control but also for high-dimensional problems like vision-based sensorimotor control. Controllers of this type can be modularly combined to solve a given assembly problem
  • Keywords
    force control; force measurement; fuzzy control; fuzzy neural nets; neurocontrollers; robot vision; splines (mathematics); B-spline neuro-fuzzy model; fine-motion control; fine-positioning; force control; force sensors; low-dimensional problems; vision sensors; vision-based sensorimotor control; Force control; Force sensors; Fuzzy control; Image processing; Input variables; Pixel; Robot sensing systems; Robot vision systems; Service robots; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on
  • Conference_Location
    Leuven
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-4300-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.1998.680765
  • Filename
    680765