Papers
1
Total Citations
13
H-Index
1
About
Ling Nie is a researcher specializing in robotics control systems, with a particular focus on underactuated and multivariable strong coupling systems. Her work addresses critical challenges in autonomous mobile robotics, especially in trajectory tracking and precision control under dynamic environmental conditions. Nie’s most cited paper, "Trajectory Tracking Strategy for Sliding Mode Control With Double Closed-Loop for Lawn Mowing Robot Based on ESO" (2022, 13 citations), introduces an innovative control framework that combines sliding mode control with extended state observer (ESO) technology. This approach effectively mitigates the effects of frequent external disturbances and parameter variations that plague lawn mowing robots, improving tracking accuracy and operational stability. Her contributions are significant for advancing the reliability of autonomous ground vehicles in real-world agricultural and landscaping applications. By addressing the fundamental difficulties of controlling underactuated systems, Nie’s work provides a foundation for more robust and precise robotic navigation, demonstrating notable impact in the field of mechatronics and control engineering.
Research Focus
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Top Papers
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