Yuan Ge

Papers

Total Citations

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About

Dr. Yuan Ge is a robotics researcher whose work focuses on intelligent control systems for mobile robots, particularly in path tracking and adaptive control. His most-cited paper, "Parameter Self-Adjusting Path Tracking Algorithm of Mobile Robots" (2013), addresses a critical limitation in conventional fuzzy controllers—the need for manual parameter updates to maintain tracking accuracy under disturbances. Ge proposed a novel solution based on a cerebellar model articulation controller (CMAC), enabling real-time parameter self-adjustment that significantly improves robustness and performance. This contribution has garnered 3 citations and represents a foundational step toward more autonomous and adaptive robotic navigation. While his citation count reflects a focused, early-stage impact, Ge’s work is notable for tackling a practical engineering challenge: reducing human intervention in dynamic environments. His research sits at the intersection of fuzzy logic, neural networks, and mobile robotics, offering insights for students and engineers developing self-tuning control systems. As the field moves toward greater autonomy, Ge’s parameter self-adjusting framework remains a relevant reference for those seeking to enhance robot adaptability without manual recalibration.