The Eye-to-hand method is used to fix the camera to realize the positioning method of the five-degree-of-freedom manipulator for monocular vision guidance.A control platform with STM32 F4 series chips as the main control chip is built

and the Monte Carlo numerical analysis method is used to solve the cloud point diagram of the joint manipulator working space

and cubic polynomial interpolation is performed.Finally

the three-dimensional building block props are used as the experimental objects

and the improved Harris corner detection algorithm is combined with artificial auxiliary identification points to extract the target of interest from various specifications of building blocks for recognition and positioning.The experimental results prove that the average relative error of the position in the Z-axis direction under the reference of the world coordinate system is 7.096 %

and the average relative error of the Φ yaw angle attitude estimation is 19.58 %

It has certain reference value in achieving the rapid positioning of the goal.