The application prospects of robots with vision navigation are very broad in intelligent manufacturing field, the accuracy of handeye calibration of vision robots is directly related to the subsequent operations accuracy of the robot. In order to further improve the accuracy of the handeye calibration of the robot, a binocular Eye-to-Hand robot handeye calibration method was proposed based on Adam optimization algorithm. According to the theory of multibody kinematics, the handeye calibration model of a 6DOF robot was established. Taking the handeye calibration matrix obtained by Halcon as the initial input, the objective function was solved iteratively by using Adam optimization algorithm,and the subtraction operation was run between two sets of terminal postures obtained before and after optimization and the posture of the terminal obtained by teaching box, then their Frobenius norms were calculated. The experimental results show that the error of camera calibration is 0.089 pixels, the average of Frobenius norm after optimization is smaller than that before optimization, and its consistency is quite well.