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Autonomous endovascular navigation achieves 96.9% success on a physical robotic platform using only 2D X-ray fluoroscopy feedback.
An attribution gate precisely disentangles user intention from capability degradation in robotic assistance, achieving 3x lower trajectory error than prior methods.
Robots can now distinguish between a user who can't move and one who isn't paying attention, leading to more effective rehabilitation.