AIBullisharXiv – CS AI · Mar 36/105
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Shape-Interpretable Visual Self-Modeling Enables Geometry-Aware Continuum Robot Control
Researchers developed a shape-interpretable visual self-modeling framework for continuum robots that enables geometry-aware control using Bezier-curve representations and neural ordinary differential equations. The system achieves accurate shape-position regulation with shape errors within 1.56% and end-effector errors within 2% while enabling obstacle avoidance and environmental awareness.
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