Longlong Meng

Papers

Total Citations

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About

Longlong Meng is a researcher in robotics and intelligent control systems, with a primary focus on autonomous navigation and path planning for mobile robots. His most cited work, "Behavior-Based Fuzzy Control for Mobile Robot Navigation" (2013, 43 citations), introduces a novel fuzzy logic control framework that integrates behavioral architectures to manage uncertainties in unknown environments. This approach enables robots to seamlessly coordinate multiple behaviors—such as obstacle avoidance and goal-seeking—through adaptive fuzzy rules, significantly enhancing robustness in dynamic settings. Meng’s contributions address critical challenges in real-world robot autonomy, offering a flexible solution that balances reactivity and deliberation. His earlier work on "Robot Path Planning Based on Differential Evolution in Static Environment" (2012) explores evolutionary optimization techniques for efficient route generation, laying groundwork for future studies in swarm robotics and computational intelligence. While his citation impact is still growing, Meng’s research is recognized for bridging theoretical control methods with practical deployment, making his work relevant to students and engineers developing intelligent, adaptive robotic systems for unstructured environments.