Restoring Natural Walking, One Step at a Time

ZEPU-AI adopts 5-section connection technology, using demonstration parameters that follow a physiological gait to lead the patient’s lower-limb joints. It combines weight support, walking and balance to simulate a normal walking pattern and deliver high-repeatability training.

Built on neural theory, the system is designed to maximise neuroplasticity, exploring, releasing and recovering the patient’s potential to walk independently. The auxiliary force of each robotic leg can be adjusted to need, while sensors continuously detect abnormal gait, spasm and abnormal stops.

For the therapist, ZEPU-AI frees the hands, saves manpower and improves efficiency, while detailed gait analysis and real-time motion feedback track every session. Training data can be exported as reports and images for objective outcome assessment.

Three training modes

• Passive mode: movement driven entirely by the robotic legs, for early-stage and low-mobility patients.
• Assistance mode: parameters set to the patient’s needs, sharing effort between machine and patient.
• Active mode: high-level training led by the patient, with augmented feedback.