Shuangcen Li

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About

Shuangcen Li is a researcher specializing in mobile robotics and intelligent path planning, with a particular focus on overcoming the limitations of classical navigation algorithms. Their most-cited work, "Research on Mobile Robot Path Planning Based on Fuzzy Artificial Potential Field Algorithm" (2023), addresses critical shortcomings in the traditional artificial potential field (APF) method—namely, its tendency to cause robots to fail to reach targets, drift away from goals, or wander aimlessly. By integrating fuzzy logic into the APF framework, Li’s approach enhances adaptability and robustness in dynamic environments, offering a more reliable solution for autonomous navigation. With 3 citations, this paper has already garnered attention for its practical improvements to a foundational robotics problem. Li’s contributions are particularly valuable for advancing real-world applications in logistics, exploration, and service robotics, where efficient and obstacle-aware route planning is essential. Their work demonstrates a keen ability to refine established techniques with intelligent control systems, making it a useful reference for students and researchers seeking to understand or innovate in mobile robot path planning.