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About

Zhi Hua Chen is a leading researcher in advanced robotics and control systems, with a primary focus on trajectory tracking and robust control for multi-degree-of-freedom manipulators. His work is particularly influential in aerospace, medical, and agricultural applications, where precision and reliability are paramount. Chen’s major contributions center on integrating the fully actuated system approach (FASA) with model predictive control (MPC) to enhance the performance of space manipulators and robotic arms. His 2025 paper on distributionally robust MPC for space manipulator trajectory tracking, which has garnered 6 citations, introduces a novel framework that accounts for uncertainties in autonomous and human-assisted space missions. Additionally, his 2024 work on robust MPC for robotic manipulators, with 4 citations, demonstrates the versatility of FASA across diverse domains. Chen’s 2025 study on learning-based modelling further advances the field by combining data-driven techniques with robust control. With a growing citation record, Chen is recognized for pushing the boundaries of manipulator control, offering scalable solutions that improve safety and efficiency in complex environments. His research is essential reading for engineers and students seeking to understand state-of-the-art control strategies for next-generation robotic systems.