抄録
This paper proposes an intelligent player in a fuzzy coach player system for learning and controlling an industrial robot manipulator. The function of the intelligent player is implemented by a visual evaluation process based on visual coordination. It is performed by a supervised self organizing map (SSOM) and fuzzy voice commands are used to learn the visual evaluation. The learned system is capable of positioning the robot manipulator to a point in 3D working space as instructed by the voice commands. The proposed idea is demonstrated with a PA-10 industrial manipulator.
