In the automation integration process of forging production line, an adaptive gripping method based on the base coordinate function and distance measuring probes of robot was studied to enhance the precision and adaptability of material handling. Then, by analyzing the programming principles of base coordinates in KUKA industrial robots and their practical application, combined with real-time detection of workpiece positions using sensors, the gripping positions were calculated and dynamically adjusted. Furthermore, during the programming process, the base coordinate and design algorithms were established by using language KRL to achieve accurate gripping and placement operations of seven different categories of workpieces, and the experimental verification was carried out. The results show that the collaborative application of base coordinate function and sensors significantly improves the operational efficiency of production line, reduces the operational errors, and further enhances the intelligence and accuracy of the forging production, which verifies the feasibility of the proposed method. Thus, this research provides an innovative ideas for automated handling in the forging industry and has broad engineering application value.