When the user wears the robot and starts walking, it detects this movement in
the main joints of the wearable rehabilitation robot and causes the robot to
start its walking.

Through this, the users are allowed to receive active motion gait training to
enable efficient gait with high satisfaction for people with walking disabilities
caused by senile diseases such as stroke and Parkinson's disease.

The exoskeletons are equipped with technology that accumulates walking data of various healthy people and extracts the most natural walking patterns according to each user.

Through domestic and foreign clinical trials, our products are becoming more effective, and research papers are continuously published.

Not only hip and knee joints, but also ankle joints can be accurately controlled, and in, sideways can be naturally implemented to maximize the effect of children's walking training.

By collecting and storing the user's walking data, it is possible to design a walking pattern that exhibits better training effects according to each user.

The effect of training can be frequently and regularly checked based on the biometric signal detected while walking.