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About

Mengli Wu is a robotics researcher whose work bridges the precision of rigid mechanisms with the adaptability of soft robotics, focusing on kinematic design and calibration for industrial and medical applications. Her most cited paper, “Model-based kinematic and non-kinematic calibration of a 7R 6-DOF robot with non-spherical wrist” (2022, 18 citations), addresses a critical challenge in robot accuracy by developing a comprehensive calibration method that improves positioning for complex serial manipulators. Wu’s contributions extend to hybrid robotics, as seen in her 2024 paper on a rigid-flexible coupling robot for aeroengine blade repair (8 citations), which combines structural stiffness with compliance for in situ maintenance. She has also advanced parallel mechanisms through the conceptual design of the asymmetrical “TAM” robot (2007, 7 citations) and its static analysis (2008, 2 citations), demonstrating expertise in both kinematics and force distribution. More recently, Wu has explored continuum robots with unique offset cross revolute joints (2024, 3 citations; 2025, 1 citation), targeting confined-space applications like minimally invasive surgery and aero-engine inspection. Her work is notable for integrating theoretical modeling with practical validation, using tools like laser trackers for calibration. With growing citations across serial, parallel, and continuum robots, Wu is establishing herself as a versatile researcher advancing robot accuracy and adaptability for real-world tasks.