In Japan, deterioration of many tunnels and bridges have become a serious problem. Moreover, engineers that manage them are insufficient due to aging. Therefore, we developed the hammering robot that can imitate hammering sounds of inspection workers. When we use this robot, workers can detect concrete defects by using their experiences. For example, if we attach a video camera or microphones to this robot, they can detect defects as before at remote locations. Furthermore, it can contribute building high accurate automatic inspection systems by learning hammering sounds of inspection workers. In this paper, we described these systems using this robot. To verify usefulness of these systems, we conducted experiments using a concrete test block and compared the results of an inspection worker with this robot. As a result, we confirmed that this experiments showed the results of this robot is more useful than its of an worker.