Abstract
In this paper, inverse fuzzy models for uncalibrated visual servoing, in 3D Workspace, are developed and validated in a six degrees of freedom robotic manipulator. This approach does not require calibrated kinematic and camera models, as needed in classical visual servoing to obtain the Jacobian. Fuzzy modeling is used to identify the inverse Jacobian in the robot workspace. Robot control is achieved by means of using the inverse fuzzy models directly as the controller. Experimental results obtained in a PUMA robot performing eye-to-hand visual servoing demonstrate the validity of the approach.
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Gonçalves, P.J.S., Paris, A., Christo, C., Sousa, J.M.C., Pinto, J.R.C. (2006). Uncalibrated Visual Servoing in 3D Workspace. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867661_21
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DOI: https://doi.org/10.1007/11867661_21
Publisher Name: Springer, Berlin, Heidelberg
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