Simon Manschitz

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.

Achieve significantly higher accuracy and lower mental demand in bimanual teleoperation by intelligently coupling intention estimation with scene-graph task planning and context-aware motion assistance.

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.