Özkan Bebek
Assoc. Professor
Associate Professor (ME), Medical Robotics
Acquiring Autonomous Suturing Skills in Surgical Robots Using Context-Based Representation and Reinforcement Learning
This project aims to develop an autonomous robotic surgical assistant capable of performing suturing, one of the most fundamental yet time-consuming surgical tasks, to reduce surgeons’ workload and fatigue during long operations. Building on reinforcement learning with human-in-the-loop skill transfer, the project will create a realistic suturing simulation environment, develop vision-guided multi-arm robotic hardware, and design novel trajectory learning and online adaptation methods.
