Research on flexible assisted control strategies of lower limb rehabilitation robot based on fuzzy admittance

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.