Surgical Robot Learning

Surgical robot learning aims to automate complex surgical tasks through artificial intelligence, primarily using reinforcement learning and imitation learning to train robots to perform dexterous manipulations like suturing. Current research focuses on developing realistic and interactive simulation environments, incorporating physically accurate soft tissue models, and leveraging human-in-the-loop approaches to improve learning efficiency and transfer to real-world scenarios. These advancements hold significant promise for improving surgical precision, reducing surgeon workload, and ultimately enhancing patient outcomes.