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About

Lilu Liu is an emerging researcher at the forefront of medical robotics and surgical automation, with a particular focus on bronchoscope robotics, continuum robot design, and AI-assisted minimally invasive surgery. His work addresses one of healthcare's most pressing challenges: the unequal distribution of skilled medical practitioners and advanced equipment, particularly in underserved regions. His landmark paper, "AI co-pilot bronchoscope robot" (2024), has already garnered 76 citations, demonstrating remarkable early-career impact and signaling a paradigm shift in how autonomous systems can democratize access to complex pulmonary procedures. Liu's contributions extend to variable-length continuum robots for endoscopic surgery, flexible biopsy systems with force sensing for deep lung examination, and AI-driven detection of bronchial foreign body aspiration — collectively advancing the dexterity, safety, and accessibility of robotic endoscopy. His earlier work on robust 2D/3D surgical registration and visual localization for indoor robots reflects a strong foundation in computer vision and robot perception. With over 120 total citations across publications spanning 2020 to 2025, Liu represents a rapidly ascending voice in intelligent surgical robotics with significant translational potential.