Gaofeng Yue

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About

Gaofeng Yue is a robotics researcher whose work focuses on intelligent navigation, autonomous grasping, and multi-sensor fusion for mobile and aerial robots. His most-cited paper, "Bi-directional Smooth A-star Algorithm for Navigation Planning of Mobile Robots" (2021, 11 citations), addresses critical limitations in traditional path-planning methods—such as poor real-time performance and excessive path polylines—by proposing a novel A-star variant that enhances both localization precision and trajectory smoothness. In "A Multi-Sensor Fusion-Based Localization Method for a Magnetic Adhesion Wall-Climbing Robot" (2025, 2 citations), Yue tackles the challenge of accurate localization on large steel structures, where visual occlusion and sensor drift degrade performance, by integrating simulation-based fusion techniques. His work on "Modeling of Autonomous Grasping Method for UAV Guided by Vision" (2022, 1 citation) further demonstrates his versatility, combining flight control and robotic arm manipulation to enable multi-rotor UAVs to perform autonomous grasping tasks with high mobility. Yue’s contributions advance practical robotics applications—from warehouse navigation to industrial inspection and aerial manipulation—by improving algorithm efficiency, sensor reliability, and system integration. His research is particularly valuable for students and engineers working on autonomous systems in complex, real-world environments.