Ziang Cui

Papers

Total Citations

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About

Ziang Cui is a pioneering researcher in human-robot interaction, with a primary focus on multisensory teleoperation systems and their integration within the Internet of Things (IoT) framework. His work centers on developing intuitive, low-cost control interfaces that combine haptic, visual, and electromyographic (EMG) feedback to enhance the precision and usability of robotic systems. Cui’s most cited paper, “Multisensory Fusion, Haptic, and Visual Feedback Teleoperation System Under IoT Framework” (2022, 30 citations), addresses critical challenges in remote nursing and semi-mechanical control by mitigating operator fatigue and improving accuracy through sensor fusion. His earlier contributions include a support vector machine-based teleoperated robotic arm (2021, 4 citations) that maps EMG and inertial measurement unit signals to multiple degrees of freedom, and a smart glove system for robotic hand control (2021, 3 citations) that emphasizes affordability and closed-loop haptic feedback. By tackling the high cost and physical strain associated with advanced teleoperation, Cui’s work has significant implications for accessible robotics in healthcare, manufacturing, and assistive technologies, establishing him as a key innovator in the field.