Vascular Intervention Robot

Vascular intervention robots aim to improve the safety and efficacy of minimally invasive procedures by automating or assisting complex manipulations within blood vessels. Current research emphasizes developing robust control algorithms, often leveraging reinforcement learning and hybrid genetic algorithms, to enable autonomous navigation and precise device manipulation. Key challenges addressed include accurate 3D-2D image registration for real-time feedback and compensation for respiratory motion, utilizing techniques like iterative PnP and optical flow analysis. These advancements hold significant promise for reducing radiation exposure to clinicians and improving the consistency and precision of endovascular interventions.