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The human-machine interface is an essential part of intelligent robotic system. Through the human-machine interface, human being can interact with the robot. Especially, in tele-robotics environment, the humanmachine interface can be developed with remarkable extended functionality. In this paper, we propose a human-machine interface with augmented reality for the network based mobile robot. Generally, we can take some meaningful information from human's motion such as movement of head or fingers. So, it is very useful to take these motions as input for systems. We synchronize head motion of human being and the camera motion of the mobile robot using visual information. So user of the mobile robot can monitor environment of the mobile robot as eyesight of mobile robot. Then we use gesture recognition for control the mobile robot. In the implemented framework, the user can monitor what happens in environment as eyesight of mobile robot and control the mobile robot easily and intuitively by using gesture.

In this paper, we describe practical implementation of a framework for development and integration of network-based humanoid robot system. The characteristics of the framework are dynamically to connect, execute and disconnect humanoid robot and service components related to the robot, and to provide simplification process about development of service components and their integration task. In addition, using an error-handling mechanism, the framework is able to recovery the components interrupted by the unexpected error. Also, the stability of the network framework is guaranteed through verification process of developed service components.

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