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We propose a fully automatic solution for high-speed peg-and-hole alignment under many uncertainties without involving any teaching task. It is implemented by a coarse-to-fine strategy with better performance comparing with our previous semi-automatic approach ( • Dynamic Compensation - Toward the Next-Gen... ). Firstly, the coarse motion of the main robot is planned by one inspection of the randomly placed workpiece from a roughly calibrated static camera. Then, during the task implementation, the add-on module realizes fine compensation of accumulated errors under 1,000 Hz visual feedback. While traditional industrial robots achieve absolute accuracy in the order of a few millimeters under high-speed positioning, the add-on module can improve the performance of such a robot with an order of magnitude, reaching a level of absolute accuracy of about 0.1 mm. Therefore, we can realize fast and accurate alignment for uncertain placement of the workpiece, even under systematic uncertainties of the main robot. http://ishikawa-vision.org/fusion/pih...