A control strategy based on 3D vision to guide the robot for spraying parts hanging is proposed because the hanging chain transporting spraying parts is difficult to be strictly positioned, which results in its low hanging efficiency. The MASK of the sprayed part is obtained by training and inference through the instance segmentation network Mask-RCNN, and the color and depth maps are obtained after pixel alignment and instance segmentation. After the hand-eye calibration of the robot vision system, the robot joints are further designed to move smoothly by means of five polynomial interpolation, and the robot is controlled and guided to hang the sprayed parts. The experimental results show that the average error of the position angle of the sprayed parts is not more than 10°, and the average error value is 6. 83 mm in the Z-movement direction, with a minimum of 0. 02 mm, and the robot can be guided to realize the autonomous hanging of the sprayed parts in the simulation environment and on-site environment.