2024
Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations
IROS 2024poster
Accurately predicting deformable linear object (DLO) dynamics is challenging, especially when the task requires a model that is both human-interpretable and computationally efficient. In this work, we draw inspiration from the pseudo-rigid body method (PRB) and model a DLO as a serial chain of rigid…