Visual Predictive Control for Manipulators with Catadioptric Camera
Résumé
This paper deals with Image Based Visual Ser-voing (IBSV) by a Visual Predictive Control (VPC) approach. Based on Nonlinear Model Predictive Control (NMPC), the visual servoing problem is formulated into a nonlinear constrained minimization problem in the image plane. A global model describing the behavior of the robotic system equipped with the camera is used to predict the evolution of the visual feature on a future horizon. The main interest of this method is the capability to easily take into account different constraints like mechanical limitations and/or visibility contraints. Simulation experiments are performed on a planar manipulator with an omnidirectional camera. Comparisons with the classical control law based on the interaction matrix highlight the efficiency and the robustness of the proposed approach, especially in difficult initial configurations and large displacements.
Domaines
Robotique [cs.RO]
Origine : Fichiers produits par l'(les) auteur(s)
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