Decoupled strategic RL policy and expert-informed execution module for autonomous endovascular navigation, reporting >96% success rate, 29.3% fewer steps, and 13% less trajectory variance in simulation and real robot tests.
Advancing embodied intelligence in robotic-assisted endovascular procedures: A systematic review of AI solutions,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 2years
2026 2verdicts
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Presents VL-PR framework using MLLM for context-aware reward adaptation in robotic endovascular guidewire navigation.
citing papers explorer
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Learning Expert Strategy for Autonomous Robotic Endovascular Intervention via Decoupled Procedural Execution
Decoupled strategic RL policy and expert-informed execution module for autonomous endovascular navigation, reporting >96% success rate, 29.3% fewer steps, and 13% less trajectory variance in simulation and real robot tests.
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Vision-Language Procedural Reasoning for Context-Aware Reward Modeling of Robotic Endovascular Guidewire Navigation
Presents VL-PR framework using MLLM for context-aware reward adaptation in robotic endovascular guidewire navigation.