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About

Dong Mei Wu is a researcher whose work spans autonomous navigation, robotic surgery, and computer vision, with a focus on solving real-world challenges in constrained and safety-critical environments. Her key research areas include visual-inertial localization for mobile robots, anti-interference target tracking for unmanned aerial vehicles (UAVs), and biomechanical modeling for surgical robotics. One of her most notable contributions is a coupled visual and inertial measurement units method for mapping in coal mine tunnels (2022, 12 citations), addressing the loss of visual tracking in bumpy, poorly lit conditions. She also developed a method combining YOLOv5 and SiamRPN for designated target anti-interference tracking during UAV landing (2022, 9 citations), advancing vision-based control in GPS-denied environments. Earlier work includes finite element modeling of bone cutting forces (2014, 3 citations) to improve orthopedic surgery safety, and a dynamics-based estimation equation for needle deflection in robot-assisted percutaneous surgery (2011, 2 citations). Wu’s research demonstrates a consistent commitment to integrating perception, control, and mechanical modeling, making her work valuable for students and researchers in robotics, autonomous systems, and medical device innovation.