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 lower-limb joints of the patient. It combines weight support, walking and balance to simulate a normal walking mode and support high-repeatability training.

Built on neural theory, the system is designed to maximise neuroplasticity — exploring, releasing and recovering the patient’s potential capacity to enhance their walking ability independently. The auxiliary force of each machine 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.