Jianwei Liu

Shanghai University, London South Bank University

Papers

3

Total Citations

24

H-Index

3

About

Jianwei Liu is a leading researcher in the fields of human–machine interaction, assistive robotics, and non-destructive testing (NDT) automation. His work focuses on developing intelligent robotic systems that enhance human mobility and industrial safety. Liu’s most impactful contribution is in lower limb exoskeleton technology, where he pioneered a human–machine coupled model optimized by genetic algorithms for gait trajectory optimization. This work, with 11 citations, addresses the complex dynamics and nonlinearity of coupled systems to improve assisted walking and exercise ability. He further advanced locomotion analysis by designing a multi-layer perceptron-based system for gait phase recognition using plantar pressure data (9 citations), enabling precise multi-mode locomotion control. In industrial robotics, Liu led the RIMCAW project, developing a mooring chain climbing robot for NDT inspections (4 citations), tackling dangerous underwater inspection tasks. His research bridges biomechanics, control systems, and field robotics, with notable achievements in optimizing human–robot coupling and automating hazardous inspections. Liu’s work is highly relevant for students and researchers in rehabilitation engineering, exoskeleton design, and industrial automation, offering practical solutions for real-world mobility and safety challenges.

Research Focus

Key Achievements

3
H-Index
3
Papers
24
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Simulating human–machine coupled model for gait trajectory optimization of the lower limb exoskeleton system based on genetic algorithm
11 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Shanghai University, London South Bank University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago