Meng Qing Chun

Papers

Total Citations

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About

Meng Qing Chun’s research bridges artificial intelligence and robotics, with a focus on dynamic control systems and optimization algorithms. His most cited work, “Application of new genetic strategy to dynamic control of a mobile robot” (2002, 2 citations), introduces an innovative genetic algorithm with symmetric code—a strategy derived from symmetric code theory. This approach addresses the dynamic model of mobile robots, enabling more efficient optimal control by embedding symmetry into genetic coding. Though early in citation impact, this contribution is notable for its theoretical novelty, offering a foundation for adaptive robotics and evolutionary computation. Meng’s work reflects a commitment to advancing intelligent control mechanisms, where algorithmic design meets real-world robotic challenges. His research resonates with scholars exploring bio-inspired optimization and autonomous systems, highlighting the potential of symmetric coding in complex dynamic environments.