With the development of robotics, the problem of control systems becomes very urgent. One of the most important problems is creation of a man-machine interface. At the moment, the most common interfaces are the ones of graphic and software types, which are designed for industrial robots that perform highly specialized tasks in various industries: from automotive and metallurgical to food industry. However, when it comes to mobile robots with a wider range of applications, interfaces of this kind become ineffective because of complex configuration and weak autonomy.  This work is devoted to the development of a Hybrid Intelligent Mobile Robot Control System (HIMRCS), focused on the execution of commands built on the natural language (NL). This system should simplify a human-machine interaction, which will allow using it in the field of mobile robots caring for people with disabilities. The scientific novelty of this work lies in the use of a hybrid approach to the development of a context-dependent mobile robot control system, focused on the use of speech commands in the natural language.

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