Visual servoing with redundant features

This paper presents how the control performance of the visual servo system is improved by utilizing the redundant features. We use the minimum singular value of the image Jacobian as a measure of the control accuracy (sensitivity) and we show that the sensitivity is strictly decreased by increasing the number of redundant features. Effectiveness of the control scheme with redundant features are verified by real time experiments on a PUMA 560 manipulator</p

Visual tracking of redundant features

This paper presents how the control performance of the feature-based visual servo system is improved by utilizing redundant features. Effectiveness of the redundant features is evaluated by the smallest singular value of the image Jacobian which is closely related to the accuracy in the world coordinate system. An LQ control scheme is used to resolve the controllability problem. Usefulness of the redundant features is verified by the real time experiments on a PUMA 560 manipulator