Learning-Based Kinematic Modeling for Concentric Tube Robot: Addressing Its Nonlinearity and Snapping Behavior
The Concentric Tube Robot (CTR) has great promise for minimally invasive surgery. However, accurately modeling nonlinear and history-dependent behaviors remains a significant challenge. This paper proposes a learning-based forward and inverse kinematics model that accounts for the history dependence…