Autonomous Catheterization

Autonomous catheterization aims to develop robotic systems capable of navigating blood vessels independently, improving the safety and efficiency of interventional procedures. Current research focuses on developing sophisticated control algorithms, often incorporating machine learning techniques like reinforcement learning, and integrating real-time imaging systems for precise navigation within the complex vascular environment. Open-source simulation platforms are playing a crucial role in accelerating algorithm development and validation, addressing limitations posed by the high cost and risk of real-world training. This field holds significant promise for reducing human error, improving procedural outcomes, and expanding access to minimally invasive treatments.