With the development of 5G remote communication technology, surgical robot technology, and artificial intelligence, telesurgery has overcome the limitations of space and time on surgical procedures. However, telesurgery still faces issues such as data transmission delay, surgical robot delay, and stability. To reduce the latency of surgical robots, virtual controllers are designed using cloud-edge collaboration technology, and model predictive control algorithms are employed to enhance the data processing capabilities at the edge and reduce the computational resource usage of the cloud. By reasonably allocating tasks between cloud computing and edge computing, the information transmission time can be effectively reduced, thereby decreasing the latency of surgical robots.