Journal of Intelligent Computing Emanuele Lindo Secco, Christian Deters, Helge A. Wurdemann, Hak-Keung Lam, Kaspar Althoefer 7 1 2016 http://www.dline.info/jic/fulltext/v7n1/jicv7n1_1.pdf Wind turbine manufacturing requires the assembly of large mechanical components, which is crucial to inspect along the production line in order to prevent high reparation costs afterwards. A critical component in this process is the turbine hub, which supports the wind blades and ball bearings allowing the pitch motion. At present, hub inspection is a manual task, which requires expert operators and long execution time. This paper proposes a novel methodology for the selfadaptive inspection of wind turbine hubs via industrial robots: a set of Critical-To-Quality parameters (CTQs), are inferred from the CAD drawing of wind turbine hub; registration between robot and hub is performed; finally a CAD2robot trajectories planning is accomplished. Methodology is implemented through a Matlab and Simulink Programming Language and combined with an Industrial PC-based control technology Beckhoff TwinCAT 3. Tests with an Fanuc Industrial M-6iB robot arm and R-30iA controller have been successfully performed on re-scaled model of the hub. The flexibility of this methodology allows applications on other industrial contexts, which can benefit from automation.