Currently, fixed fixtures or a six coordinate attitude adjustment platform with linear motion and rotation are commonly used in aircraft engine assembly to adjust the engine's attitude, resulting in low attitude adjustment efficiency and complex equipment structure. This article uses parallel robots as the engine attitude adjustment platform and proposes an automated attitude adjustment and docking method for aircraft engines based on parallel robots. The singular value decomposition (SVD) method is used to calculate the pose of the object to be adjusted, and the motion state of each robotic arm of the parallel robot is obtained through inverse kinematics solution. Secondly, it is demonstrated through motion simulation that parallel robots can complete the spatial motion required for object pose adjustment. The same method can also be applied to medical scenarios where parallel robots need to actively adapt to patient postures.