Haoze Zhang
Papers
2
Total Citations
35
H-Index
2
About
Haoze Zhang is an emerging researcher specializing in advanced control systems for robotic manipulators, with a particular focus on sliding mode control and disturbance estimation techniques. His work addresses one of the most persistent challenges in robotics: achieving precise, high-performance trajectory tracking in the presence of model uncertainties and external disturbances. Zhang's most notable contributions center on the development of sophisticated control architectures that combine nonlinear disturbance observers (NDO) with terminal sliding mode controllers. His 2023 paper introducing the NDO–NTSMC framework for n-degree-of-freedom manipulators garnered 18 citations within its first year, demonstrating immediate recognition from the robotics and control engineering community. Building on this foundation, his 2024 work further refined the sliding mode control strategy by enabling real-time estimation of unknown model dynamics through feedforward compensation, accumulating 17 citations rapidly. Collectively, Zhang's research has already attracted over 35 citations across just two publications — a remarkable achievement for early-career work. His contributions are particularly valuable to researchers and engineers developing robust robotic systems for manufacturing, automation, and precision applications, where disturbance rejection and trajectory accuracy are critical performance requirements.
Research Focus
Key Achievements
Top Papers
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- 2