arxiv
PublishedApril 24, 2026 at 4:00 AM
—neutral
Toward Safe Autonomous Robotic Endovascular Interventions using World Models
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arXiv:2604.20151v1 Announce Type: cross Abstract: Autonomous mechanical thrombectomy (MT) presents substantial challenges due to highly variable vascular geometries and the requirements for accurate, real-time control. While reinforcement learning (RL) has emerged as a promising paradigm for the aut
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