Genqun Cui

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Total Citations

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About

Genqun Cui is a robotics researcher whose work focuses on intelligent navigation, teleoperation, and vision-based control for mobile robots. His most significant contribution is a novel obstacle-avoidance trajectory method inspired by fluid dynamics, which overcomes the local minima and oscillation problems inherent in traditional potential field approaches for planar, static environments—a paper that has garnered 21 citations. Cui also advanced teleoperation systems by integrating virtual reality with wireless LAN (WLAN), using high-gain antennas and tools like VC++, OpenGL, and 3DS MAX to enable remote robot control, a work cited 8 times. Additionally, he developed a color-vision-based road-following system for mobile robots, employing a CCD camera and a fuzzy genetic algorithm (FGA) control strategy to enhance path recognition robustness over gray-image methods, with 3 citations. These contributions demonstrate Cui’s impact on practical robotics challenges, from improving autonomous navigation reliability to enabling remote operation in real-world settings. His work remains relevant for researchers exploring sensor-based robot control and human-robot interaction.