Suk Wai Winnie Leung

Hong Kong University of Science and Technology, University of Hong Kong

Papers

Total Citations

H-Index

About

Suk Wai Winnie Leung is a pioneering researcher in mechatronics and robotics, with key contributions spanning wearable technology, multi-robot systems, and assistive devices. Her most impactful work, "Drift-Free and Self-Aligned IMU-based Human Gait Tracking System with Augmented Precision and Robustness" (2020, 36 citations), addresses critical challenges in inertial measurement unit (IMU)-based motion tracking—namely long-term drift, magnetic interference, and rotational reference inconsistency—enabling more reliable real-time control for wearable technology. Leung also advanced warehouse automation through "Relative State Formation-based Warehouse Multi-robot Collaborative Parcel Moving" (2021, 9 citations), introducing a novel formation theory approach for coordinated ground vehicles to clamp and transport boxes. Demonstrating her commitment to accessibility, she developed the "Mechatronics Enabling Kit for 3D Printed Hand Prosthesis" (2019, 4 citations), integrating affordable robotics and wearable sensors via the Sparthan platform. Beyond research, Leung champions project-based learning through cutting-edge robotics competitions like RoboMaster (2022), where students design intelligent systems for MOBA-style battles. Her work bridges theoretical innovation with practical, real-world applications, making her a notable figure in human-robot interaction and assistive mechatronics.