2020
GA3C Reinforcement Learning for Surgical Steerable Catheter Path Planning
ICRA 2020poster
Path planning algorithms for steerable catheters, must guarantee anatomical obstacles avoidance, reduce the insertion length and ensure the compliance with needle kinematics. The majority of the solutions in literature focuses on graph based or sampling based methods, both limited by the impossibili…