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About

Zhijiang Lu is a robotics and rehabilitation engineering researcher whose work focuses primarily on the design, mechanism development, and control of robotic systems for neurological rehabilitation, particularly targeting stroke survivors and hemiplegic patients. His research addresses a critical gap in the field: the need for multi-degree-of-freedom rehabilitation devices capable of delivering both passive and active training modes, moving beyond the limitations of earlier single-freedom systems. Lu's most significant contributions center on ankle rehabilitation robotics, culminating in a series of progressively refined systems — including the MKA-III platform — that integrate three to six degrees of freedom, subjective awareness training, and parallel mechanism architectures. His most cited work (2015, 17 citations) introduced a three-freedom ankle rehabilitation robot that represented a meaningful advance over existing passive-only devices. Beyond ankle systems, Lu also contributed to hand and wrist rehabilitation robotics and lower limb motion detection using inertial measurement technology (LPMS), broadening the scope of his clinical applicability. With a concentrated publication record in 2015–2016 and a cumulative citation count approaching 80 across ten works, Lu has established a coherent research identity at the intersection of medical robotics and assistive technology, offering practical solutions to the growing global demand for scalable, therapist-assistive rehabilitation tools.