International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

In the last ten years, the development and implementation of robotics, sensor and digital technology in the world from introduced us the third industrial revolution to the fourth industrial revolution. In its development strategy, Germany introduces digital technologies in production processes called “Industry 4.0” in 2011. The German example is followed by the following countries: USA, Great Britain, Sweden, Japan and other. Almost all technologically developed countries strive to introduce advanced technologies into production processes in order to maintain their competitive positions in the market. The implementation of the fourth technological revolution depends on a number of new and innovative technological achievements, i.e., the implementation of patents for the basic technologies of Industry 4.0. It is necessary to integrate production processes in all phases of product development, as well as monitoring during its working life through the use of advanced technologies. When automating production processes, we must include intelligent sensors, intelligent robots and connect everything to the Internet using digital technologies that closely monitor the product development process. It is also required to collect large amounts of data through network communication used during the production process. The paper presents a structural network with all levels for the implementation of Industry 4.0 in the production process of the metal industry.

Agricultural labor is physically demanding, tedious and often carried out in unfavorable conditions, making it suitable for robotization. Due to climate change and the swift increase of the human populace on Earth, the hunger is becoming increasingly an issue (currently, around 2 billion people suffer from malnourishment). With the aim of maximal efficiency of the production of plant food, an accelerated introduction of robotics in the field of agriculture is required (Agriculture 4.0).

The present research is devoted to the coexistence and communication of a person with machines, equipment and robots that possess elements of artificial intelligence. The new conditions lead to revolutionary changes in the automation of various activities in and outside the industry. Changes are multifaceted and the disclosure of trends allows planning and protecting of legal long-term activities to achieve useful outcomes effectively.

The present research is devoted to the coexistence and communication of a person with machines, equipment and robots that possess elements of artificial intelligence. The new conditions lead to revolutionary changes in the automation of various activities in and outside the industry. Changes are multifaceted and the disclosure of trends allows planning and protecting of legal long-term activities to achieve useful outcomes effectively.

This paper deals with the comparison of analysis of two legged humanoid robots during walking. This research area is characterized by the fact that there are a lots of publications, most of which are based on the classic Zero-Moment-Point (ZMP) method. First, a brief overview is provided on humanoid robots, and also models for the dynamic behavior are discussed. As base for these models these two methods Denavit Hartenberg and the Newton-Euler are used. Main aim of this work is to investigate the stability of humanoid robot developed. There is currently the low base of robot – consisting of feet, legs, hips and upper part of robots body. First, the existing low base of humanoid robot was simulated using Matlab / SimMechanics, where the derived by Newton-Euler model was used.

Robot assembling is flexible and it enables a stable and high-quality assembly. It enables a constant improvement and an easy multiplication. This report represents an idea for adding functionalities in a robot complex for assembling flame detectors in the firm “UniPOS” and it analyses the benefits of this. The main aims for a development of the existing robot complex for assembling are: decreasing the production prime cost; reducing the manual labor that is connected to loading components; increasing the use of the robot complex; reducing the cycle time and increasing the productivity of the robot complex; increasing the quality of the manufactured products. The additional functionalities are accomplished in parallel with the main ones in assembling and they are at the expense of running all robots in the complex and their use only for assembling (not for loading the components).