We consider the problems of creating a training situation center for training management skills of mobile robotic systems control based on the concept of territorially distributed laboratory. This task can be efficiently performed by means of three-dimensional rendering system and software and hardware support for information analysis and management activities. The base concept of approach is the real-time virtual studio that provides computer simulation of threedimensional scenes and motion of actual mobile robots, real-time operation with multiple cameras and have powerful and fast 3D and stereoscopic real-time rendering. We have developed 3D scenes corresponding to places of the intended use of robotic devices and additionally several polygonal 3D models of external artifacts, textures for them and finally recorded animation layers with appropriate controllers of the virtual studio. Mobile robots moved against a background of the chromakey green screen in different places of distributed laboratory are incorporated into the virtual network laboratory on the basis of VPN-tunnels through the Internet by special software.

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The architecture of the software and hardware system for audiovisual data control and output in distance learning is described. This system is an efficient tool for visualization control, development of multi-variant scenarios for study sessions, and operational control of the equipment for distributed nodes of educational material transmission. The system makes it possible to combine information flows from various software and hardware sources and render them on the distributed display system in a flexible and efficient way.

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Building a multi-unit mobile robot group acting as a single interrelated complex is one of the principal tasks of the development of efficient intellectual robotic technology. This task can be efficiently solved by creating a situation center and software and hardware means for the support of information, analytical and management activities. Creating intellectual educational systems for preparing specialists, as well as for autonomous "self-learning" of groups of interacting robots in the course of finding the solutions for placed tasks.