Nowadays, Computer-Aided Design and Computer-Aided Manufacturing ( CAD / CAM ) systems are widely used in industries, such as mould-making and mechanical components manufacturing on Computer Numerical Con-trolled (CNC) machine. VVorkpiece localization, with novel applications such as workpiece setup, refixturing and dimensional inspections, is a problem of permanet importance in manufacturing of high precision parts. Besides, a general class of industrial motion control systems has the struc-ture of dynamical systems, preceded by some non-linearities in the actuator, such as deadzone, backlash, saturation, etc. The problems are particularly exacerbated when the required accuracy is high, as in micropositioning de-vices. In this thesis, we investigate two kinds of intelligent motion compensa-tion. In the first part of this work, deadzone and backlash compensators are designed for industrial positioning systems using fuzzy logic (FL) controllers. The classification property of FL systems makes them a natural candidate for the rejection of errors induced by the deadzone and backlash. Tuning algorithms are applied to estimate the deadzone and backlash parameters on-line. The adaptive FL deadzone and backlash compensators are imple-mented on the actual industrial CNC machines to show its efficiency. The second part of this thesis focuses on workpiece localization. A charged coupling device (CCD) camera is used to capture the images of the workpiece. Using edge detection algorithm, we obtain some information about it. Afterwards, we solve the localization problem using several geo-metric algorithms which have been developed over the last few years. And we will also compare these algorithms in terms of computational efficiency and accuracy.