On-line learning system for gait assistance with wearable robot

In this study, we propose an on-line learning system of gait pattern for a wearable robot to assist walking. In our learning system, the cost function is defined by the sum of the measured arm loading force of a user and the power consumption of the motors during walking. We confirmed that the arm loading force decreased with little change of power consumption by using the proposed algorithm.