Abstract
In this research, Genetic algorithm (GA) is used as pose-tracking method of an target object for 3-D visual servoing. Real-time object tracking time has been shortened for real-time pose estimation by using 1-step GA and Eye-vergence function, and pose-tracking accuracy has be verified through fitness function distribution which is a correlation function between the target object projected in camera flame and model defined in the control computer. In this research, it verifies about the error of object recognition by showing the action of GA in time-domain during visual servoing.
