| Summary: | 碩士 === 國立交通大學 === 電機學院IC設計產業專班 === 97 === This thesis proposes a novel design method for a quarto-axis eyeball robot, based on the neural network frame and close to the human being’s learning mechanism, to trace a moving object. The tracing strategy is classified into four parts. The first part is to preset the relationship between the axial speeds of the eyeball robot and the position of the moving object. Next, the offline training of the neural network based on back propagation learning rule according to the preset relationship. The third part is to retrieve the position of the moving object in real time as the input of the well trained neural network. In the fourth part, the output of the neural network is obtained as the reference data to modify the axial speeds of the eyeball robot. In addition, the eyeball robot is capable of adjusting its axial speeds in accordance with the object’s speed for different velocities tracing.
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