For large workpieces such as nuclear main pumps and rocket engine nozzles, due to their complex shapes and large dimensions, precision grinding and polishing are required after casting and machining to ensure dimensional accuracy and manufacturing performance. Heavy duty robots with high flexibility and the ability to provide greater grinding and throwing pressure stress are the preferred choice for precision grinding and throwing of such workpieces. Recently, the scientific research team of the Technology Equipment and Intelligent Robot Research Office of Shenyang Institute of Automation, Chinese Academy of Sciences has established a robot precision grinding and polishing system for large-scale complex curved surface workpieces, which can be used for robot automated manufacturing and testing of the above types of workpieces. The research team has established a physical model for the wear of rigid machining grinding discs during the grinding and polishing process of large castings, which is used to predict the wear of grinding discs during the grinding and polishing process; By generating a series of geodesic offset paths with the shortest path length feature and converting them into parameter interpolation paths, further smoothness optimization is achieved in joint space. The research team achieved a compromise minimization of grinding and polishing time, joint impact, and disc wear by incorporating multi-objective optimization functions and kinematic constraints into an improved optimization algorithm. The simulation and experimental results have demonstrated the superiority of the path planning method proposed by the research team in terms of machining accuracy, stability, and efficiency of large-sized castings. This provides new ideas and solutions for efficiently utilizing rigid grinding tools, reducing replacement, and predicting tool wear. It is expected to assist in the efficient and high-precision automated grinding and polishing of large-sized, high-precision, and complex curved workpieces. The research findings are based on Robotic disc grinding path planning method based on multi-objective optimization for nuclear reactor coolant pump casing The title was published in the Journal of Manufacturing Systems. The research has received support from the National Natural Science Foundation of China and the Natural Science Foundation of Liaoning Province. (New Society)