In the present robot industry, not only robots for industrial purpose but also those for serving in the human living environment are being eagerly sought for. The current robot control based on artificial intelligence and image processing
technologies cannot support the robot works in the actual environment, because of difficulty in fully recognizing diverse objects placed in the living environment.

We have proposed a distributed knowledge robot control scheme in which every object is posted with an IC tag containing the manufacturer's network address and the knowledge information required for a robot to handle the object concerned. The scheme allows the robot to recognize objects more easily and the manufacturers to have burden of robotic programming reduced. We have successfully demonstrated the effectiveness of the proposed scheme by using available IC tag, image processing and robot control technologies.