Grasping and manipulating transparent objects with a robot is a challenge in robot vision. To successfully perform robotic grasping, 6D object pose estimation is needed. However, transparent objects are difficult to recognize because their appearance varies depending on the background, and modern 3D sensors cannot collect reliable depth data on transparent object surfaces due to the translucent, refractive, and specular surfaces. To address these challenges, we proposed a 6D pose estimation of transparent objects for manipulation.