Connor D. Lee

Evaluating Generative Models for Inverse Kinematics of Concentric Tube Robots

Concentric tube robots (CTRs) hold great potential for minimally invasive surgery, offering flexibility, small diameters, and the ability to navigate within complex anatomical structures. While machine learning models have been increasingly used to predict the kinematics of CTRs, there is a lack of