%0 Journal Article %A SHI Yu-qiu %A SUN Wei %T Research on CMAC study control strategy for robotic visual servo system %D 2010 %R 10.3778/j.issn.1002-8331.2010.26.072 %J Computer Engineering and Applications %P 238-240 %V 46 %N 26 %X Cerebella Model Articulation Controller(CMAC) neural network has fast learning speed and can be used very well for real time system.A study control strategy for robotic visual servo system is introduced.In this strategy,CMAC is used as feedforward visual servo controller to compensate a general feedback controller.The proposed CMAC controller approximates the image Jacobin matrix that maps the 2D/3D relationships between image features and robotic joints movements.The on-line learning ability of CMAC can make the proposed system not sensitive to the camera calibrated errors and has strong robustness.The results of experiments prove the validity of the presented control system. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2010.26.072