In order to realize the three-dimensional positioning function of the industrial robot to target objects with weak texture and no obvious positioning feature points

a multi-line structured light vision guided industrial robot positioning method is proposed and the positioning accuracy is analyzed experimentally. Multi-line structured light measurement module consisting of industrial camera and laser is used as the vision senor of the positioning system. Firstly

a multi-line structured light positioning feature points extraction algorithm based on corner detection is proposed

and the three-dimensional information of feature points is reconstructed by stereo vision principle. Secondly

the reconstructed positioning feature points are registered with the discrete points of the theoretical model

and combined with the calibration parameters

the relative poses of the end are solved. Finally

a closed-loop attitude control system based on pose feedback is established. Experimental results show that the proposed method has high positioning accuracy

and it can meet the requirements of industrial applications.