Xueen Li

Beihang University, Chinese Academy of Sciences, Institute of Automation

Papers

Total Citations

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About

Xueen Li is a robotics researcher whose work bridges sensor fusion, autonomous navigation, and assistive technology. His primary research focuses on solving the critical challenge of glass detection for robot navigation—a notoriously difficult problem because glass surfaces are invisible to standard laser rangefinders and lidar. Li’s most impactful contribution, "Multi-sensor Fusion Glass Detection for Robot Navigation and Mapping" (29 citations), introduces an efficient method that enables Simultaneous Localization and Mapping (SLAM) systems to operate robustly in glass-heavy environments using low-cost sensors. He further refined this approach in "Fusing Sonars and LRF Data to Glass Detection for Robotics Navigation" (9 citations), demonstrating a practical, affordable algorithm that combines ultrasound sensors with laser scanners to identify glass obstacles in office settings. Earlier in his career, Li contributed to assistive robotics with "A behavior-based architecture for the control of an intelligent powered wheelchair" (5 citations), which fused reactive and deliberative control paradigms to enhance mobility for users. His work is notable for making glass detection accessible without expensive hardware, directly improving robot safety and reliability in real-world environments. Li’s research remains highly relevant for autonomous systems operating in human-centric spaces.