Huiping Huang

National Chung Cheng University, Southwest Jiaotong University

Papers

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About

Huiping Huang is a robotics researcher whose work bridges intelligent control systems and agricultural automation. Her primary research areas include fuzzy control, particle swarm optimization (PSO), and robotic manipulation for precision agriculture. Huang’s most influential contribution is her 2017 study on PSO-based fuzzy control for self-balancing two-wheeled robots, which has garnered 9 citations. In this work, she developed a Takagi-Sugeno (T-S) fuzzy dynamical model and applied linear matrix inequality (LMI) techniques to stabilize the inherently unstable two-wheeled platform, demonstrating how swarm intelligence can optimize fuzzy controller parameters for dynamic balance. More recently, in 2023, Huang turned to agricultural robotics, designing a grape-picking robot arm that integrates deep learning for visual positioning and a custom end-effector for delicate fruit handling. Her kinematic modeling and experimental validation achieved successful picking tests, showcasing practical applications of robotics in intelligent agriculture. With her work spanning from foundational control theory to real-world agricultural solutions, Huang exemplifies how robotics research can evolve from theoretical stability analysis to tangible automation that addresses labor-intensive tasks in farming.