Yufeng Lu

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About

Dr. Yufeng Lu is a leading researcher in human-machine interaction and assistive robotics, with a focus on developing intuitive control systems that bridge the gap between human physiology and robotic assistance. His most cited work, "EMG-based hand gesture control system for robotics" (2018, 10 citations), introduces a groundbreaking wearable human-machine interface that leverages electromyogram (EMG) signals to enable natural, non-invasive control of in-home service robots. By designing a system that employs the MyoWave muscle sensor to acquire and amplify EMG signals alongside a microcontroller for real-time processing, Dr. Lu has created a practical framework for translating muscle activity into robotic commands. This contribution is particularly significant for individuals with limited mobility, offering a pathway to greater independence through intuitive gesture-based control. His research addresses critical challenges in signal processing and wearable device design, laying the foundation for more responsive and accessible assistive technologies. Dr. Lu’s work continues to inspire innovations in rehabilitation engineering and smart home robotics, demonstrating how bio-signal interfaces can transform human-robot collaboration.