Surgical Robotic System

Surgical robotic systems aim to enhance precision, minimally invasiveness, and efficiency in surgical procedures. Current research focuses on improving accuracy through advanced registration techniques (e.g., gradient-SDF methods), enhancing autonomy via AI-driven planning and control (e.g., leveraging grammatical models of surgical actions and deep reinforcement learning), and addressing challenges in robot calibration and control (e.g., data-driven methods for cable-driven robots and improved trajectory tracking with RCM constraints). These advancements hold significant promise for improving surgical outcomes, reducing surgeon workload, and expanding access to complex procedures.