A study on feature-based visual servoing system of intelligent robot system by utilizing redundant feature

Abstract

This paper shows how the control performance of the feature-based visual servo system is improved by utilizing redundant features. The 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. The usefulness of the redundant features is verified by the real time experiments. To investigate the accuracy of the redundant visual servo system, real time experiments on the dual-arm robot with eight joints are carried out. Translation and rotation step response with three, four and five features are examined.