Zeming Zhao

Papers

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About

Zeming Zhao is a researcher in human–machine interaction and assistive robotics, with a focus on intuitive teleoperation systems that bridge the gap between human intent and robotic action. His most cited work, a 2018 feasibility study, explores the integration of inertial measurement units (IMUs) with surface electromyography (sEMG) sensors to create a more natural and responsive control interface for remote robotic systems. By combining motion tracking with muscle activity sensing, Zhao’s research addresses key challenges in dexterous teleoperation, enabling operators to control robots with greater ease and precision—an advancement with implications for rehabilitation, prosthetics, and hazardous environment exploration. With 13 citations, this foundational study has informed subsequent work in wearable sensor fusion and intuitive control paradigms. Zhao’s contributions lie at the intersection of biomechanics, signal processing, and robotics, demonstrating how multimodal sensing can enhance human–robot collaboration. His work is particularly relevant for students and researchers interested in non-invasive interfaces, assistive technologies, and the future of telepresence systems.