Marlene Pinzi

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About

Marlene Pinzi is a leading researcher in the field of surgical robotics, with a primary focus on minimally invasive neurosurgery and bio-inspired needle steering. Her work centers on developing advanced path planning algorithms and robotic platforms to enhance the precision and safety of brain surgery. Pinzi’s most significant contribution is the creation of the Adaptive Hermite Fractal Tree (AHFT), a novel 3D path planning approach that accounts for curvature and heading constraints, enabling steerable needles to navigate complex brain tissue while avoiding critical structures. This work, published in 2019, has garnered 48 citations and is foundational to the Horizon2020-funded EDEN2020 project. She also co-authored a key 2022 paper on a modular robotic platform for precision neurosurgery, which details the first in-vivo deployment of a bio-inspired needle system, accumulating 22 citations. Her research demonstrates a clear trajectory from algorithmic innovation to real-world surgical application, bridging the gap between theoretical path planning and clinical deployment. Pinzi’s work is instrumental in advancing supervisory-control robots for surgery, promising reduced trauma and faster recovery for patients undergoing neurosurgical procedures.