Zhengyuan Ning

Fujian Agriculture and Forestry University

Papers

Total Citations

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About

Zhengyuan Ning is a researcher in intelligent robotics and autonomous navigation systems, with a particular focus on obstacle avoidance and fuzzy control technologies. His most-cited work, "Intelligent Robot Obstacle Avoidance System Based on Fuzzy Control" (2009, 26 citations), addresses a core challenge in mobile robotics: enabling autonomous, real-time navigation in dynamic environments. By integrating multi-sensor data with fuzzy logic models, Ning developed a system that allows robots to intelligently perceive and react to obstacles without human intervention—a foundational contribution to the field of autonomous navigation. This work has been influential in advancing the practical deployment of intelligent robots in industrial, service, and exploratory settings. Ning’s research bridges the gap between theoretical control systems and real-world robotic applications, demonstrating how fuzzy control can enhance decision-making under uncertainty. His contributions continue to inform the design of smarter, more adaptive robotic systems, making him a notable figure in the evolution of autonomous robotics.