Liqun Wen
Papers
2
Total Citations
29
H-Index
2
About
Liqun Wen is a researcher at the forefront of rehabilitation robotics and human–machine interaction, with a focus on intelligent control systems and biosignal processing. Their work bridges the gap between uncertain robotic dynamics and practical assistive technologies. A major contribution is the development of a data-driven model-free adaptive containment control (MFACC) scheme for rehabilitation exoskeleton robots, addressing critical challenges of system uncertainty and input saturation constraints—a novel approach that eliminates the need for complex dynamic models. Additionally, Wen has advanced upper limb motion estimation by integrating multiple sEMG decomposition features with a BiLSTM network, enabling continuous and accurate joint angle prediction. This work, published in 2022, has garnered 23 citations, reflecting its impact on non-invasive human–robot interfaces. With a growing citation record and pioneering work in adaptive control for rehabilitation, Liqun Wen is shaping the future of intelligent, uncertainty-tolerant robotic systems designed to restore human mobility.
Research Focus
Key Achievements
Top Papers
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