Fuzzy Model Based Control Applied to Path Planning Visual Servoing

  • Paulo J. Sequeira Gonçalves
  • Luís F. Mendonça
  • João Costa Sousa
  • João Rogério Caldas Pinto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3287)


A new approach to eye-in-hand path planning image-based visual servoing based on fuzzy modeling and control is proposed in this paper. Fuzzy modeling is applied to obtain an inverse model of the mapping between image features velocities and joints velocities, avoiding the necessity of inverting the Jacobian. The inverse model is directly used as a controller. The control scheme is applied to a robotic manipulator performing visual servoing, for a given profile of planned image features velocities. The obtained results show the effectiveness of the proposed control scheme.


Path Planning Fuzzy Model Fuzzy Controller Fuzzy Cluster Inverse Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Babuška, R.: Fuzzy Modeling for Control. Kluwer Academic Publishers, Boston (1998)Google Scholar
  2. 2.
    Dementhon, D., Davis, L.: Model-based object pose in 25 lines of code. International Journal of Computer Vision 15(1/2), 123–141 (1995)CrossRefGoogle Scholar
  3. 3.
    Espiau, B., Chaumette, F., Rives, P.: A new approach to visual servoing in robotics. IEEE Transactions on Robotics and Automation 8(3), 313–326 (1992)CrossRefGoogle Scholar
  4. 4.
    Gonca̧lves, P.S., Pinto, J.C.: Camera configurations of a visual servoing setup, for a 2 dof planar robot. In: Proceedings of the 7th International IFAC Symposium on Robot Control, Wroclaw, Poland, September 2003, pp. 181–187 (2003)Google Scholar
  5. 5.
    Gustafson, D.E., Kessel, W.C.: Fuzzy clustering with a fuzzy covariance matrix. In: Proceedings IEEE CDC, San Diego, USA, pp. 761–766 (1979)Google Scholar
  6. 6.
    Hutchinson, S., Hager, G., Corke, P.: A tutorial on visual servo control. IEEE Transactions on Robotics and Automation 12(5), 651–670 (1996)CrossRefGoogle Scholar
  7. 7.
    Mezouar, Y., Chaumette, F.: Path planning for robust image-based control. IEEE Transactions on Robotics and Automation 18(4), 534–549 (2002)CrossRefGoogle Scholar
  8. 8.
    Sousa, J., Silva, C., da Costa, J.S.: Fuzzy active noise modeling and control. International Journal of Approximate Reasoning 33, 51–70 (2003)zbMATHCrossRefGoogle Scholar
  9. 9.
    Suh, I., Kim, T.: Fuzzy membership function based neural networks with applications to the visual servoing of robot manipulators. IEEE Trans. on Fuzzy Systems 2(3), 203–220 (1994)CrossRefGoogle Scholar
  10. 10.
    Tahri, O., Chaumette, F.: Application of moment invariants to visual servoing. In: Proc. of the IEEE Int. Conf. on Robotics and Automation, Taipeh, Taiwan, pp. 4276–4281 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Paulo J. Sequeira Gonçalves
    • 1
  • Luís F. Mendonça
    • 2
  • João Costa Sousa
    • 2
  • João Rogério Caldas Pinto
    • 2
  1. 1.Dept. of Industrial EngineeringInstituto Politécnico de Castelo Branco, Escola Superior de TecnologiaCastelo BrancoPortugal
  2. 2.Instituto Superior Técnico, Dept. of Mechanical Engineering, GCAR/IDMECTechnical University of LisbonLisboaPortugal

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