Haiming Zhong

Papers

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About

Haiming Zhong is a leading researcher in rehabilitation robotics and intelligent control systems, with a focus on developing advanced robotic solutions for medical applications. His work centers on two key areas: ankle rehabilitation robotics and pneumatic artificial muscle (PAM) actuation systems. Zhong's most significant contribution includes the development of a predictive control framework for ankle rehabilitation robots, integrating differential evolution optimization algorithms with fuzzy NARX models to enable personalized, quantitative rehabilitation for patients with stroke, hemiplegia, and ankle injuries—a paper that has already garnered 6 citations since its 2025 publication. Additionally, his innovative work on hysteresis modeling for pneumatic artificial muscles, published in 2024 with 4 citations, addresses a critical challenge in soft robotics by proposing an improved generalized Prandtl–Ishlinskii model that compensates for asymmetric hysteresis nonlinearities, thereby enhancing control performance. These contributions demonstrate Zhong's impact in bridging computational intelligence with practical rehabilitation technologies, offering promising pathways for more precise, adaptive robotic therapy systems that can significantly improve patient outcomes in clinical settings.