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March 3, 2026
Research on flexible assisted control strategies of lower limb rehabilitation robot based on fuzzy admittance
CG
Chao Gao
CW
Chunlei Wang
Shanghai University
HL
Hui Li
Harbin University of Science and Technology
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Key Points
Lower limb rehabilitation robots see enhanced performance with fuzzy admittance strategies, supporting patient recovery.
A 20% increase in effective movement was observed with the implementation of fuzzy admittance in users' rehabilitation sessions.
Assessment using fuzzy logic control techniques demonstrates the adaptability of rehabilitation robots in real-time environments.
Findings highlight the importance of flexible control strategies; further validation in clinical settings is needed.
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Gao et al. (Thu,) studied this question.
synapsesocial.com/papers/69a766fbbadf0bb9e87df2c9
https://doi.org/https://doi.org/10.1016/j.bspc.2026.109782
Research on flexible assisted control strategies of lower limb rehabilitation robot based on fuzzy admittance | Synapse