Jiange Kou
Papers
5
Total Citations
88
H-Index
4
About
Jiange Kou is a leading researcher in rehabilitation robotics and human-robot interaction, with a primary focus on lower limb exoskeleton systems. His work centers on developing intelligent control strategies that enable exoskeletons to adapt seamlessly to human motion, addressing critical challenges in assistive robotics. Kou’s most influential contribution is his 2024 paper on a “Flexible assistance strategy of lower limb rehabilitation exoskeleton based on admittance model,” which has garnered 59 citations for its novel approach to compliant human-robot collaboration. He has further advanced the field with active control methods using variable admittance control (2025, 12 citations) and model-based backstepping control enhanced by a whale optimization algorithm (2024, 9 citations). Kou also explores biosignal-driven control, developing multi-branch deep learning neural networks for sEMG-based motion intention prediction (2024, 6 citations). His expertise extends to fault-tolerant control of robotic manipulators, where he has proposed fixed-time extended state observers to ensure robust performance under actuator faults (2024, 2 citations). Through his innovative integration of adaptive control, machine learning, and biomechanics, Kou is shaping the next generation of responsive, safe, and effective rehabilitation exoskeletons.
Research Focus
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Top Papers
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