Implementation of Industry 4.0 and Industrial Robots in the Manufacturing Processes

Karabegović, Isak; Karabegović, Edina; Mahmić, Mehmed; Husak, Ermin

doi:10.1007/978-3-030-18072-0_1

Cited by 42 publications

(14 citation statements)

References 2 publications

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“…The changes should include all groups of companies in these regions, because currently the level of their digitalization and robotization is low. This concerns mainly the automation and robotization of production, the use of 3D printing, big data analysis and cloud computing [58,[83][84][85]. There are also problems…”

Section: Plos Onementioning

confidence: 99%

Assessing the level of digitalization and robotization in the enterprises of the European Union Member States

Brodny

2021

PLoS ONE

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One of the main reasons for the dynamic global economic development observed in recent years is the process of digitalization, referred to as Industry 4.0. The significance of digitalization for this development is appreciated by the EU-27. In order for these actions to be effective, it is necessary to diagnose the current level of digitalization in the EU-27countries. The article presents the results of the assessment of the level of digitalization of enterprises in the EU-27 countries. An empirical analysis was conducted using 16 determinants which describe the digitalization in a sample of 27 EU countries. Based on the adopted criteria and the Technique for Order Preference by Similarity to an Ideal Solution method, these countries were divided into four classes in terms of the level of digitalization. The analysis looked at the size of enterprises and was performed independently for small, medium and large enterprises. The adopted indicators allowed for the analysis of similarity between the EU-27 countries in terms of digitalization, using the Kohonen’s networks. The result of this research was the division of the EU-27 countries into groups, also taking into account the size of studied enterprises. Due to the immensely diverse EU-27 economy, such a huge undertaking as the digital transformation process requires building logical internal "digital coalitions". The designated assessment and similarity between countries creates such opportunities, also in terms of building an effective policy to support these processes by the EU. This increases the chances of success of joint ventures and building a sustainable European community based on the latest technologies.

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Section: Plos Onementioning

confidence: 99%

Assessing the level of digitalization and robotization in the enterprises of the European Union Member States

Brodny

2021

PLoS ONE

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“…The annual and total application of industrial robots worldwide in all branches of industry is shown in Figure 3. [9][10][11][12][13][14][15][16][17][18]. Industry 4.0 will install next-generation industrial robots or collaborative robots that are aware, connected, responsive to the production process and intelligent, as shown in Figure 2.…”

Section: The Implementation Of Service Robots In the Past Ten Yearsmentioning

confidence: 99%

“…Industrial robots designed in this way will accelerate the implementation of Industry 4.0 in production processes. All the technologies listed so far are responsible for the development of robotic technology, so there was an enormous increase of use of service robots for professional use and service collaborative robots for logistics, as shown in Figure 3 [9][10][11][12][13][14][15][16][17][18]. Figure 3a indicates that the trend of application of service robots for professional use is continuously increasing.…”

Section: The Implementation Of Service Robots In the Past Ten Yearsmentioning

confidence: 99%

The Role of Collaborative Service Robots in the Implementation of Industry 4.0

Karabegović

Bosnia²,

Herzegovine³

et al. 2019

Int. J. Robot. Autom. Technol.

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The implementation of the fourth industrial revolution Industry 4.0 is based on the following technologies: internet of tings , cloud computing, big data, robotics & automation, intelligent sensors, 3D printers and radio frequency identification-RFID. The robotics is considered as the core technology. Second-generation industrial robotscollaborative robots have been implemented in the last two years. Their implementation is increasing every year and has reached about 3% of the total application of industrial robots in the world. The development of new technologies has contributed to the development and implementation of collaborative service robots AGV (Automated Guided Vehicle), which is one of the most significant qualitative shifts in the automation of logistic in production processes, assembly lines, warehouses and all other operations where transport is necessary. Their application is motivated by technical and economic reasons, such as: improving the quality of finished products, reducing the production of the finished product, increasing the homogeneity rate-constant quality, reducing the number of workers to carry out tedious transport, increasing the safety of workers in the work process, minimizing production costs and overall maintenance. The paper describes the trend of implementing service robots for professional use, with particular reference to collaborative service robots in logistics. Some design solutions for collaborative service robots in logistics already implemented in the industry are presented.

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“…With the exponential advancements in computer science, particularly the growth in artificial intelligence, along with the increase in computing power in edge devices, the efficiency of indoor robot navigation has increased dramatically after 2010 [18], [19]. Some uses of robots in indoor spaces include personal assistants [3], industrial robots [20], waiter robots [21], a personal assistant robot [22], take-care robots [23] etc. are becoming true.…”

Section: Introductionmentioning

confidence: 99%

Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review

et al. 2021

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Robots that can move autonomously and can make intelligent decisions by perceiving their environments and surrounding objects are known as autonomous mobile robots. Such robots have rapidly moved from laboratories to automated industries to fill a variety of roles in our lives, homes, offices, hospitals, industries, and even on the streets. The interest in mobile robots is growing rapidly, prompting an enormous amount of research over the last 30 years, on critical factors of mobile robots such as locomotion, perception, localization, mapping, ego-motion tracking, and dynamic navigation. This article surveys these essential factors of autonomous mobile robots in terms of mathematical modeling, control issues, and challenging factors. Brief discussions are provided on the fundamentals of these technologies, popular algorithms in comprehensive mode, future challenges, and promising directions to guide the construction of an autonomous mobile robot with high accuracy and effectiveness. Since it is difficult to find complete coverage of those topics in a single location, this article provides a guideline for researchers entering the field or for innovators in the mobile robotics sector. The paper also examines open challenges in indoor mobile robots and identifies potential futures for autonomous mobile robots.

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Implementation of Industry 4.0 and Industrial Robots in the Manufacturing Processes

Cited by 42 publications

References 2 publications

Assessing the level of digitalization and robotization in the enterprises of the European Union Member States

Assessing the level of digitalization and robotization in the enterprises of the European Union Member States

The Role of Collaborative Service Robots in the Implementation of Industry 4.0

Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review

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