Danni Shi
Papers
3
Total Citations
119
H-Index
2
About
Danni Shi is a control systems researcher specializing in robust trajectory tracking control for robot manipulators, with a particular focus on disturbance rejection and adaptive control methodologies. Their work addresses one of the central challenges in robotics: maintaining precise motion control in the presence of unmodeled dynamics, external disturbances, and system uncertainties. Shi's research has made notable contributions through the development of composite control frameworks that integrate active disturbance rejection techniques with advanced sliding mode control strategies. A standout achievement is their 2020 paper on composite trajectory tracking with active disturbance rejection, which has garnered 72 citations and established a foundational approach in the field. Building on this, Shi introduced adaptive sliding mode disturbance observers combined with prescribed performance constraints, enabling controllers that not only reject disturbances but also guarantee predefined transient and steady-state response bounds — a significant step toward practical, certifiable robotic control. With a growing citation record across multiple related works, Shi's research is increasingly recognized within the robotics and control engineering community, offering valuable tools for researchers and engineers developing reliable, high-performance robotic systems in uncertain real-world environments.
Research Focus
Key Achievements
Top Papers
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