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By representing deformable linear objects as a chain of relative rotations, RopeDreamer achieves state-of-the-art prediction accuracy and topological consistency in long-horizon manipulation tasks.
Guaranteeing safety in shared autonomy is now possible by integrating Control Barrier Functions directly into the inverse kinematics layer, leading to safer and more trusted robotic systems.