FNPG-NH: A Reinforcement Learning Framework for Flexible Needle Path Generation With Nonholonomic Constraints
Path planning algorithms for minimally invasive neurosurgery involve avoiding critical structures such as blood vessels and ventricles while following needle kinematics. The majority of planning solutions proposed in the literature use sampling-based algorithms. This letter introduces a Flexible Nee