Yuan Yuan Liu

Dalian University of Technology, Liaoning Shihua University

Papers

Total Citations

137

H-Index

About

Yuan Yuan Liu is a pioneering researcher in computer vision and robotics, with a focus on glass detection and intelligent inspection systems. Her groundbreaking work addresses a critical blind spot in computer vision: the inability of existing systems to perceive transparent surfaces like glass. Her highly cited paper, “Don’t Hit Me! Glass Detection in Real-World Scenes” (2020, 131 citations), introduces a novel approach to detecting glass in everyday environments, solving a key safety challenge for autonomous robots and vehicles. By enabling machines to “see” glass, Liu’s research prevents potentially catastrophic collisions, advancing the reliability of real-world AI systems. She has also contributed to robotics in industrial settings, notably through her work on behaviour planning for power substation inspection robots using fuzzy cognitive maps (2022). This research enhances the autonomy and safety of robots performing critical infrastructure inspections. Liu’s work bridges the gap between perception and action, making her a vital voice in creating more perceptive and dependable autonomous systems. Her contributions are essential reading for students and researchers working at the intersection of computer vision, robotics, and safety-critical AI.