Abstract
A purpose of this research is to propose a scene recognition method for real-time visual servoing of a manipulator, which has robustness for lighting environments. We have verified the robustness of the proposed method against lighting conditions variations and the effectiveness of the method for real-time recognition using fish catching experiment by visual servoing of a hand-eye robot.