Few-Shot Physics-Informed Neural Network for Shape Reconstruction of Concentric-Tube Robots
Modeling concentric tube robots (CTRs) involves complex nonlinear continuum mechanics, and despite recent progress, physics-based models often lack an accurate representation of the experimental setups. To overcome these limitations, deep neural network-based models have been explored as alternative…