The authors are trying to transplant a function similar to human consciousness into a robot to elucidate the mystery of human consciousness. While there is no universally accepted definition of consciousness, we believe that a consistency of cognition and behavior generates consciousness, based on the knowledge we gained in such fields as brain science and philosophy in the course of our study. Based on this idea, we have developed a module, named MoNAD, which comprises recurrent neural networks and can be used to elucidate the phenomena of human consciousness. We focused on mirror image cognition and imitation behavior, which are said to be high-level functions of human consciousness, and conducted experiments that had the robot imitate the behavior of its mirror image. This paper reports on the results of our additional tests using a new type of robot and basic experiments on discriminating a part of the self from another robot. We found that our experiments on mirror image cognition did not depend on the type of robot used, however the time delay when transmitting control signals to the other robot was an important factor that affected our evaluation of the robot's discriminating the self from the other robots.