Approximate exploring motion control for eye-in-hand visual servoing

Abstract

This paper proposes a visual servo control method for exploring motion of eye-in-hand robot to recognize a three-dimensional object. Optimal motion is based on the strategy in which the position estimation precision of the feature points gets improved when the feature points move widely, and the optimal robot motion provides the widest transitions of the feature points per unit robot motion, so that the robot should be controlled to purse such motion. In addition, this paper describes the way to reduce a large number of calculation efforts. The validity of our approach is confirmed in the several experimental results.