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This paper describes the current state-of-the-art in Cognitive Architectures, which could assist in the development of the agent-based robotic systems, and gives a proposition for a possibly new model. Agent-based cognitive systems would be the key-factor of the future autonomous mobile robots.

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Indoor Positioning is one of the most significant challenges of the 21 st century. Hence, this paper aims to give an overview on indoor navigation solutions and propose a theoretical hybrid method which is based on Bluetooth Smart technology and combination of distance measurement and pedestrian dead reckoning techniques. First of all, the paper presents radio based techniques. Secondly, other techniques based on the use of various sensors and measurements are described. Nowadays, it can be state that each technique requires any type of smart device such as smartphone or tablet, whose inertial sensors help in evaluation of pedestrians' actual position. Moreover, it would be assumed that each person has its own smart device, hence, it would be also state that they could be considered as one entity. Therefore, the researches on indoor navigation systems require novel low-cost approaches that involve new generation devices, thus create future networks.