Generative 3D State Estimation for DLOs From Partial Observations
Accurate 3D shape estimation of deformable linear objects (DLOs) from sensory data is a critical prerequisite for downstream manipulation tasks like shape control. However, real-world scenarios often contain unstructured environments and yield noisy, partial observations, posing significant challeng