Zhenzhou An
Papers
2
Total Citations
8
H-Index
2
About
Zhenzhou An is a pioneering researcher in the emerging field of magnetic resonance navigation (MRN), focusing on the precise control of micro/nano robots within the human vasculature. His key research areas include robotic path planning, reinforcement learning for autonomous navigation, and the integration of non-invasive imaging with interventional robotics. An’s major contributions center on developing intelligent motion planning algorithms for MRN, where he has applied both A* search and Q-learning techniques to enable real-time, automated steering of therapeutic robots under the constraints of interleaved MR imaging and steering sequences. His work addresses the critical challenge of efficient path planning in complex vascular networks, as demonstrated in his most-cited papers from 2018, each garnering 4 citations and laying foundational groundwork for future clinical applications. By leveraging magnetic resonance angiography (MRA) for real-time tracking, An’s research promises to advance targeted drug delivery and minimally invasive interventions. His innovative fusion of classical pathfinding with modern machine learning marks a significant step toward fully autonomous, MRI-guided robotic systems for vascular medicine.
Research Focus
Key Achievements
Top Papers
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- 2