Siyu Zong

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About

Siyu Zong is a rising researcher in the field of rehabilitation robotics, with a focused expertise in lower-limb exoskeleton control and human motion intention recognition. Their work is centered on enhancing the synergy between humans and machines, particularly for medical rehabilitation applications. A key contribution is the development of a multi-source information fusion method that integrates surface electromyographic (sEMG) signals with lower limb joint angles, enabling more intuitive and responsive motion intention recognition for rehabilitation robots. This work, published in 2024, has already garnered 7 citations, signaling its early impact. Building on this, Zong’s 2025 investigation into trajectory tracking control for hip joints in lower-limb exoskeletons introduces an innovative SSA-Fuzzy PID optimization algorithm, addressing the critical trade-off between control precision and response speed. With 3 citations in its first year, this study underscores Zong’s commitment to solving practical control challenges. By advancing both the sensing and control layers of exoskeleton technology, Siyu Zong is laying the groundwork for more adaptive, patient-responsive rehabilitation devices, promising to improve mobility outcomes for individuals with lower-limb impairments.