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In this paper, an adaptive visual servoing scheme is developed to drive a wheeled mobile robot to the desired pose, wherein the unknown depth information is identified simultaneously. Specifically, system errors are selected by measurable signals at first, then the kinematics model is obtained in polar coordinates containing the unknown feature depth. On the basis of the concurrent learning strategy,...
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