Jun Yi Liu

Institute of Engineering, Institute of Engineering Science

Papers

Total Citations

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About

Dr. Jun Yi Liu is a robotics researcher specializing in nonlinear control systems, with a particular focus on two-wheeled self-balancing robots—a class of inherently unstable, multivariable platforms that demand sophisticated control strategies. His work addresses critical challenges in stabilizing these systems, which are fundamental to applications in personal transportation and mobile robotics. In his 2014 study on "Two-Wheeled Self-Balancing Robot Systems Using Fuzzy Immune Algorithm," Dr. Liu introduced a fuzzy immune PD controller that outperformed conventional fuzzy PD designs by reducing overshoot and shortening adjustment time, demonstrating a novel bio-inspired approach to control. Complementing this, his research on "PSO in Two-Wheeled Self-Balancing Robot Control" applied particle swarm optimization to tune LQR feedback matrices, solving the difficult problem of optimal gain selection. While his most-cited papers each hold 2 citations, they represent foundational steps in applying intelligent algorithms—fuzzy logic and swarm intelligence—to real-time stabilization. Dr. Liu’s contributions are valuable for students and engineers exploring advanced control theory, offering practical frameworks for handling nonlinearities and uncertainties in dynamic robotic systems.