Denis Kovac

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Industrial robots are part of production systems and it is important to place them into the system according to their properties and behaviour. The information, obtained from the technical sheets of robots, about workspace (its dimensions and shape) is insufficient for designing the production system. The information about mobility is missing. To represent(More)
This paper deals with possibilities of error correction of elastomagnetic sensors, which are used for measuring of massive pressure force within the range 0 - 200 kN. For these sensors, it is very hard to obtain the correct expression of measured force values from input data. Therefore designed solution is based on utilizing of feedforward neural networks.(More)
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