Meng Li

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About

Meng Li is a pioneering researcher at the intersection of medical robotics, computer vision, and vascular intervention, with a focused mission to advance autonomous endovascular navigation systems. Their work addresses some of the most technically demanding challenges in robot-assisted surgery, particularly the need for real-time, accurate guidance within the complex and dynamic environment of the human vasculature. Among Li's most significant contributions is the development of an iterative Perspective-n-Point (PnP) algorithm for 3D-2D vascular image registration, enabling robust, real-time alignment even in the presence of outliers and nonrigid deformations — a combination rarely achieved in prior work. Complementing this, their Motion-Related Compensation (MRC) algorithm cleverly extrapolates correlations between visible and invisible vascular structures to compensate for respiratory motion during interventions, earning 8 citations since its 2023 publication. Most ambitiously, Li's 2025 VascularPilot3D system represents a landmark achievement as the first fully 3D autonomous endovascular navigation platform, integrating intra-operative fluoroscopic imaging into a complete guidance pipeline. Collectively, these contributions — already accumulating citations across a short publication window — position Meng Li as an emerging leader shaping the future of autonomous surgical robotics.