Qing Fei

Papers

Total Citations

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About

Dr. Qing Fei is a robotics researcher whose work bridges computer vision and intelligent manipulation, with a particular focus on enhancing the perception and autonomy of robotic systems. Dr. Fei’s most cited work, “Pedestrian Classification and Detection in Far Infrared Images” (2015, 25 citations), addresses the critical challenge of reliable human detection in low-visibility conditions, a key enabler for autonomous navigation and surveillance. In the domain of robotic motion planning, Dr. Fei introduced the VT-RRT algorithm in “Path planning of the dual-arm robot based on VT-RRT algorithm” (2019, 18 citations), a novel variable step size rapidly-exploring random trees approach that significantly improves the efficiency and safety of coordinated dual-arm movements. Further advancing practical robotics, Dr. Fei’s work on “Motion Control of 6-DOF Manipulator Based on EtherCAT” (2018) demonstrates expertise in real-time control systems, leveraging the EtherCAT protocol to achieve the high synchronization and performance required for complex multi-joint manipulators. Through these contributions, Dr. Fei has established a strong foundation in both the sensing and actuation pillars of modern robotics, with a clear trajectory toward creating more capable and responsive automated systems.