Papers
3
Total Citations
6
H-Index
2
About
Wenru Lu is a rising researcher in robotics and control systems, with a focus on enhancing the precision and adaptability of robotic manipulators in uncertain and unstructured environments. Their work centers on advanced control strategies, including fractional sliding mode control, adaptive stiffness control, and visual servoing. Lu’s most cited paper (2021, 3 citations) introduces a novel fractional sliding mode synchronous control method for robotic arms under uncertain disturbances, employing a virtual principal axis to mitigate cumulative synchronization errors—a key contribution to robust multi-arm coordination. More recently, Lu has explored image-based visual servoing, proposing adaptive shear thickening fluid variable admittance control (2024, 2 citations) and an image-based adaptive stiffness visual servoing framework with prescribed performance (2025, 1 citation). These works address critical challenges in robotic assembly, enabling autonomous task execution without precise environmental models. While early in their career, Lu’s integration of fractional calculus, adaptive control, and visual feedback demonstrates a promising trajectory toward intelligent, disturbance-resilient robotic systems for industrial applications.
Research Focus
Key Achievements
Top Papers
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