Ye Wei

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About

Ye Wei is an emerging researcher working at the intersection of human-machine interaction, biomedical signal processing, and robotics. Their most notable work focuses on the development of intelligent robotic arm control systems driven by biological signals, particularly surface electromyography (sEMG) and inertial measurement unit (IMU) data. In their 2021 study on MYO-based robotic arm grasping systems, Ye Wei investigated continuous motion capture techniques, demonstrating how filtered electromyographic signals and extracted motion features can be leveraged to enable intuitive, gesture-driven robotic control — a contribution with meaningful implications for prosthetics, rehabilitation engineering, and industrial automation. While still in the early stages of building a citation profile, with their robotic arm research accumulating 3 citations, Ye Wei represents a growing voice in the field of human-robot collaboration. Their work addresses a critical challenge in modern robotics: bridging the gap between natural human movement and machine response through wearable biosensor technology. As interest in assistive robotics and intuitive control interfaces continues to accelerate globally, Ye Wei's foundational research positions them as a promising contributor to this rapidly evolving discipline.