Papers
1
Total Citations
4
H-Index
1
About
Jingyu Huang is a robotics researcher specializing in adaptive control systems and parameter identification for robotic manipulators. Their work addresses the critical challenge of real-time system adaptation under unknown or varying load conditions, a key issue in industrial and collaborative robotics. Huang’s most cited paper, “On-line parameter identification and control parameters optimization of robot joints with unknown load torque” (2016), introduces a discrete model reference adaptive identification method that simultaneously estimates load inertia and damping coefficients. By discretizing the mechanical movement equation, the approach enables continuous, online optimization of control parameters without requiring prior knowledge of load torque—significantly improving joint performance and stability in dynamic environments. With 4 citations, this foundational work has informed subsequent research in adaptive robotics and real-time control systems. Huang’s contributions are particularly relevant for applications requiring high-precision manipulation, such as assembly lines and surgical robotics, where unknown loads can compromise accuracy. Their research bridges theoretical control theory with practical implementation, offering engineers a robust framework for enhancing robot autonomy and reliability in unstructured settings.
Research Focus
Key Achievements
Top Papers
- 1