Mengrong Cui
Papers
1
Total Citations
12
H-Index
1
About
Mengrong Cui is a researcher in robotics and nonlinear control systems, with a primary focus on adaptive control strategies for constrained robotic manipulators. Her most cited work, "Neural network–based terminal sliding mode applied to position/force adaptive control for constrained robotic manipulators" (2018, 12 citations), introduces a novel control framework that integrates terminal sliding mode control with neural networks to address dynamic uncertainties in constrained robotic systems. This approach uniquely combines position and velocity tracking to achieve precise force/position regulation, offering robust performance in the presence of model inaccuracies. Cui's contributions advance the field of intelligent control by demonstrating how neural networks can enhance sliding mode techniques for real-world robotic applications, particularly in tasks requiring simultaneous force and position control. Her work is notable for bridging theoretical control design with practical implementation challenges, providing a foundation for further research in adaptive robotics. With a growing citation record, Cui's research continues to influence developments in autonomous manipulation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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