Papers
4
Total Citations
48
H-Index
4
About
Ziqiang Chen is at the forefront of rehabilitation robotics, specializing in the design and control of self-balancing lower limb exoskeletons. His major contributions center on biomimetic engineering—drawing inspiration from human and animal physiology to create robots that assist patients with mobility impairments. Notably, his 2024 work on the AutoLEE-II exoskeleton, cited 32 times, introduces a self-balancing system that eliminates the need for crutches, enabling more natural rehabilitation movements. Chen further advances the field through viscoelastic compliance control, mimicking muscle properties to enhance stability, and pioneering knowledge transfer methods for personalized human-robot interaction. His robust following controller, which decodes motion intentions under small sample conditions, addresses a critical challenge in the field. With multiple high-impact papers published in 2024 alone, Chen’s research is rapidly shaping the future of assistive robotics, offering practical solutions for stroke survivors and spinal cord injury patients. His work stands out for its integration of biomechanics, control theory, and machine learning, making him a rising leader in rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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