Papers
3
Total Citations
12
H-Index
2
About
Jingfu Li is a researcher whose work spans the critical intersection of robotics, rehabilitation engineering, and predictive maintenance. His primary research areas include the prognostics and health management of industrial robotic components, the design and control of hybrid locomotion systems, and the development of assistive devices for human rehabilitation. Li’s most impactful contribution to date is his 2023 study on the harmonic reducer—a key component in industrial robots—where he pioneered a method for remaining useful life prediction using multi-signal fusion. By integrating vibration and current signals, his work addresses the risk of false diagnostics in complex environments, a significant step forward for industrial reliability. This paper has already garnered 6 citations, signaling its growing influence. In parallel, Li has advanced the field of mobile robotics through his 2022 design of a wheel-leg hybrid quadruped robot, which combines flexible motion with environmental adaptability. Earlier, in 2013, he contributed to biomedical engineering by developing a FAT-based adaptive control system for a lower extremity rehabilitation device, designed to aid stroke patients in early recovery. Li’s work demonstrates a consistent focus on enhancing system intelligence and human-robot interaction, making him a notable figure in modern mechatronics.
Research Focus
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Top Papers
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