Jincong Yi

Fujian Agriculture and Forestry University

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About

Dr. Jincong Yi is a pioneering researcher in intelligent robotics and autonomous navigation systems, with a primary focus on developing adaptive obstacle avoidance technologies for mobile robots. His most influential work, "Intelligent Robot Obstacle Avoidance System Based on Fuzzy Control" (2009), has garnered 26 citations and established a foundational framework for integrating multi-sensor data fusion with fuzzy logic control to solve real-time navigation challenges. Dr. Yi's key contributions lie in designing intelligent models that enable robots to autonomously perceive and respond to dynamic environments, significantly enhancing their operational safety and efficiency. By combining sensor inputs with rule-based decision-making, his approach addresses the critical problem of autonomous obstacle avoidance—a defining feature of truly intelligent robotic systems. His research has practical implications for industrial automation, service robotics, and autonomous vehicles, demonstrating how fuzzy control systems can bridge the gap between sensor data and reliable navigation behavior. Dr. Yi's work continues to influence subsequent studies in intelligent robotics, particularly in developing more robust and adaptive control strategies for complex, unstructured environments.