Evolving Inverse Fuzzy Models for Uncalibrated Visual Servoing in 3D Workspace

نویسندگان

  • Paulo Goncalves
  • João Sousa
  • João Caldas Pinto
چکیده

In this paper, evolving inverse fuzzy models obtained online for uncalibrated visual servoing in 3D workspace, are developed and validated in a six degrees of freedom robotic manipulator. This approach will recursively update the inverse fuzzy model based only on measurements at a given time instant. The uncalibrated approach does not require calibrated kinematic and camera models, as needed in classical visual servoing to obtain the Jacobian. Experimental results obtained in a PUMA robot performing eye-to-hand visual servoing in 3D workspace are used to demonstrate the validity of the proposed approach, when compared to the previous developed off-line learning. Keywords— Visual Servoing, Fuzzy Control, Robotics, Evolving Fuzzy Systems.

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تاریخ انتشار 2009