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The existing recognition methods for vision systems are effective only for certain fairly simple objects, which are observed in sufficiently deterministic conditions (certain illumination, background and position of the object relative to the camera). During functioning of robotic complexes on a previously unprepared territory, the listed conditions, as a rule, are not fulfilled. Thus, the prerequisites for the implementation in perspective the robotic complexes of the algorithms for recognizing the three-dimensional objects of various classes in the complex nondeterministic conditions are created. The issues of recognition of three-dimensional objects with an unknown viewing angle from the images of their two-dimensional projections have been considered. The multihypothetical recognition is based on the generalization of a two-alternative decision rule. The questions of using the ROC-analysis for evaluating the effectiveness of the recognition system have been investigated. The formula dependencies to determine the magnitudes of possible errors have been presented. The obtained results can be used in the development of methods and ways for identifying objects in conditions of an inadequately defined environment for vision systems of robotic complexes for various purposes operating outside the factory premises.

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The trends in the improvement of the management systems by mobile robotic complexes based on artificial intelligence theory methods have been considered. It has been shown that the perspective trend in the knowledge processing field is the integration of various intelligent technologies to combine their advantages and to compensate the existing drawbacks. It has been determined that the principle distinctive feature of intelligent control systems is the system processing of knowledge at all steps of their work.

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