Fenglian Liu

Tianjin University of Technology and Education

Papers

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About

Fenglian Liu is a researcher specializing in robotics, sensor fusion, and indoor localization technologies. Her work addresses critical challenges in autonomous navigation, particularly the accumulation of errors in dead reckoning systems and the simultaneous localization and mapping (SLAM) problem. In her most-cited paper, "Location technology of indoor robot based on laser sensor" (2016), she proposed a novel positioning method that integrates laser sensor data with known structured environments using the Extended Kalman Filter (EKF) algorithm. This approach enables rapid extraction of border and corner information, significantly improving the accuracy and stability of indoor robot localization. With 6 citations, this work has contributed to foundational advancements in laser-based navigation for mobile robots. Liu’s research is particularly relevant for applications in warehouse automation, service robotics, and smart environments, where precise indoor positioning is essential. Her contributions continue to influence the development of robust, real-time localization systems, making her a notable figure in the field of intelligent robotics and sensor-based navigation.