Delay-aware Teleoperative Training System For Transcontinental Robot-assisted Minimally Invasive Trajectory Following

Surgical robots and telesurgery have long attracted significant attention as solutions to the growing demand for equitable surgical care, enhanced medical efficiency, and the performance of operations in extreme environments, such as aerospace and underwater settings. Despite the continuous development of robotic systems and the gradual reduction of latency to a controllable range with the advancement of network and communication technologies, the lack of surgeon training and limited system adaptability remain key bottlenecks that are often overlooked. To address these issues, this research focuses on developing a simulation training system for remote endoscopic tumor resection. The system features an interactive graphical user interface (GUI) with multiple functional areas, closely replicating actual telesurgery operations to support surgeon training more conveniently and effectively. This paper will demonstrate the feasibility and effectiveness of the proposed training system through the presentation of results and specific analysis, discussing potential directions for future improvement to support the broader development and adoption of telesurgery.