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About

Zhenwei Wu is a versatile researcher whose work spans robotics, materials science, and biomedical engineering. His most influential contributions include the 2025 "Metallic glass roadmap" (13 citations), which provides a comprehensive guide to this unique class of materials that blend metallic and glassy properties, offering transformative potential for industrial applications. In robotics, Wu has made significant advances in humanoid and mobile robot control, notably developing dynamic stability analyses based on the Zero Moment Point (ZMP) for wheel-based humanoid robots (11 citations) and creating novel fuzzy-logic methods for multiple obstacle avoidance in unstructured environments (6 citations). His work on the EAST-AIA deployment under vacuum (2016) demonstrates his expertise in applying computer vision to calibrate laser diagnostic systems in extreme conditions. Wu has also explored sEMG-based movement estimation using SVM methods (2014) and dynamic modeling of humanoid waist mechanisms (2008). With over 40 total citations across these diverse fields, Wu exemplifies interdisciplinary research, bridging fundamental materials science with practical robotics and biomedical applications, making his work valuable to students and researchers in multiple engineering domains.