Teng-Yi Wang

Papers

Total Citations

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About

Teng-Yi Wang is a robotics and control systems researcher whose work focuses on intelligent control strategies for autonomous mobile robots. His most cited paper, "Hybrid Fuzzy PID Controller Design for a Mobile Robot" (2018, 28 citations), introduces a novel approach that combines traditional PID control with fuzzy logic to enhance robot performance. Using the MSI Ihomer robot as a testbed, Wang demonstrated that this hybrid system achieves steady-state operation in significantly shorter time compared to conventional controllers. The contribution lies in bridging classical control theory with computational intelligence, offering a practical solution for real-time robot navigation and stability. Wang’s work has been cited by researchers exploring adaptive control in robotics, autonomous systems, and mechatronics, reflecting its relevance to both theoretical advancements and applied engineering. By addressing the limitations of standalone PID controllers through fuzzy logic integration, his research provides a foundation for developing more responsive and robust robotic platforms. Wang’s contributions continue to influence the design of intelligent control systems in mobile robotics, making his work a valuable reference for students and engineers seeking efficient, hybrid control methodologies.