Papers
5
Total Citations
22
H-Index
3
About
Zijie Liu is a pioneering researcher at the intersection of wearable robotics, biomechatronics, and soft sensing, whose work is redefining how machines understand and assist human movement. His core research focuses on developing intelligent sensing systems for real-time motion monitoring, with particular emphasis on underwater exoskeleton control and gait rehabilitation. Liu’s major contributions include the creation of novel wearable sensors that capture muscle deformations and joint synergies to estimate continuous gait phases and swimming patterns, addressing critical challenges in harsh environments where traditional sensors fail. His 2023 paper on wearable sensing for breaststroke phase monitoring (10 citations) laid the groundwork for underwater robotic assistance, while his 2024 work on continuous gait phase estimation (4 citations) introduced speed and ramp adaptability—a breakthrough for responsive prosthetics. Notably, Liu’s 2025 study on *in-situ* real-time monitoring of muscle energetics (3 citations) pioneers a soft neural-mechanical approach to track metabolic energy conversion, offering unprecedented insights into motion efficiency. His durable magnetoelastic sensor for plantar load distribution (2 citations) further demonstrates his commitment to robust, real-world applications. With a rapidly growing citation record and innovations spanning swimming pattern recognition and shear load sensing, Liu is shaping the future of human-robot synergy.
Research Focus
Key Achievements
Top Papers
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