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About

Qianqian Zhang is a rising leader in assistive and rehabilitation robotics, with a focus on integrating biosignal processing and soft actuator technologies. Her work centers on two key areas: hand pattern recognition for wearable robotic systems and the development of high-performance soft actuators using liquid metal. In her highly cited 2021 paper, "Toward Hand Pattern Recognition in Assistive and Rehabilitation Robotics Using EMG and Kinematics," Zhang demonstrated how combining electromyography (EMG) with kinematic data can significantly improve the accuracy of pattern recognition for hand rehabilitation devices—a critical step toward practical, patient-friendly robotic gloves for stroke survivors. This work has garnered 32 citations and is foundational for researchers working on intuitive control of assistive devices. More recently, Zhang has pushed the boundaries of soft robotics with her 2024 paper on a "High-performance liquid metal electromagnetic actuator fabricated by femtosecond laser," which achieved 17 citations in a short time. By replacing rigid conductors with liquid metal, she created actuators that are both flexible and powerful, enabling smaller, softer, and more responsive robotic systems. Her innovative use of femtosecond laser fabrication marks a notable achievement in precision manufacturing for soft robotics. Zhang’s contributions are shaping the future of wearable robotics, making assistive technology more adaptive, comfortable, and effective for clinical and daily use.