Jingyuan Wu

Northern Research Institute, Southwest Jiaotong University

Papers

Total Citations

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About

Dr. Jingyuan Wu is a leading researcher in robotics and autonomous systems, with a primary focus on visual perception and motion control for intelligent platforms. Her most influential work addresses a critical challenge in Visual Simultaneous Localization and Mapping (SLAM)—loop closure detection. In her 2019 paper, which has garnered 18 citations, Dr. Wu pioneered the fusion of semantic information into loop closure detection, significantly enhancing the ability of robots to correct cumulative positioning errors during navigation. This innovation directly improves the robustness and accuracy of autonomous systems operating in complex, real-world environments. Additionally, Dr. Wu has advanced the field of robotic manipulation through her work on inverse kinematics for redundant robotic arms. Her 2020 study introduced a novel closed-loop damped minimum velocity norm scheme for seven-degree-of-freedom aerial platform arms, effectively avoiding joint singularities and enabling smoother, more reliable motion. By combining neural network approaches with classical control methods, Dr. Wu’s research bridges the gap between theoretical kinematics and practical robotic deployment, making her contributions highly valuable for the next generation of autonomous aerial and ground robots.