scholarly journals Singularity measurement in the Cyber-physical and intelligent robot systems laboratory

2020 ◽  
Vol 11 (2) ◽  
pp. 82-87
Author(s):  
Timotei István Erdei ◽  
Géza Husi
Keyword(s):  
Industry 4.0 ◽  
Industrial Robots ◽  
Manufacturing Industries ◽  
Research Centre ◽  
Intelligent Robot ◽  
Robot Systems ◽  
Material Studies ◽  
Robot Cell

AbstractIn the building mechatronics research centre of University of Debrecen, Faculty of Engineering, a new laboratory has been designed, named “Cyber-physical and intelligent robot systems laboratory”. The possibility to design and test unique and platform-independent systems was among the main goals, hoping that the system itself and its advancements may later be used in manufacturing industries as well.Fulfilling the needs of “Industry 4.0” is a challenging task, as it requires every single device (e.g. industrial robots) to be connected to the same network, where they may be monitored and controlled. However, there are some factors that limit this, such as the periodical “instability” that some machines have, caused by singularity points.The following material studies these so-called singularities of a KUKA KR5 industrial welder robot placed in a robot cell, from an engineering viewpoint.

scholarly journals Transitioning of Steel Producers to the Steelworks 4.0 –Literature Review with Case Studies

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4109
Author(s):  
Bożena Gajdzik ◽  
Radosław Wolniak
Keyword(s):  
Literature Review ◽  
Case Studies ◽  
Steel Industry ◽  
Industry 4.0 ◽  
Strong Dependence ◽  
Industrial Robots ◽  
Basic Material ◽  
Sources Of Information ◽  
Important Place ◽  
Steel Mills

The publication presents a picture of modern steelworks that is evolving from steelworks 3.0 to steelworks 4.0. The paper was created on the basis of secondary sources of information (desk research). The entire publication concerns the emerging opportunities for the development of the steel producers to Industry 4.0 and the changes already implemented in the steel plants. The collected information shows the support environment for changes in the steel sector (EU programs), the levels of evolution of steel mills, along with the areas of change in the steel industry and implemented investment projects. The work consists of a theoretical part based on a literature review and a practical part based on case studies. The work ends with a discussion in which the staged and segmented nature of the changes introduced in the analyzed sector is emphasized. Based on the three case studies described in the paper, a comparative analysis was conducted between them. When we tried to compare methods used in the three analyzed steel producers (capital groups): ArcelorMittal, Thyssenkrupp, and Tata Steel Group, it can be seen that in all organizations, the main problem connected with steelworks 4.0 transition is the digitalization of all processes within an organization and in the entire supply chain. This is realized using various tools and methods but they are concentrated on using technologies and methods such as artificial intelligence, drones, virtual reality, full automatization, and industrial robots. The effects are connected to better relations with customers, which leads to an increase in customer satisfaction and the organizations’ profit. The steel industry will undergo further strong changes, bringing it closer to Industry 4.0 because it occupies an important place in the economies of many countries due to the strong dependence of steel producers on the markets of the recipients (steel consumers). Steel is the basic material needed to make many products, and its properties have been valued for centuries. In addition, steel mills with positive economic, social, and environmental aspects are part of the concept of sustainability for industries and economies.

Herstellerneutrale Programmierung von Robotern*/Manufacturer-independent programming of robots - A software architecture concept for controlling and programming heterogeneous robotic systems

2017 ◽  
Vol 107 (09) ◽  
pp. 594-599
Author(s):  
A. Magaña ◽  
G. Prof. Reinhart
Keyword(s):  
Software Architecture ◽  
Industrial Robots ◽  
Robotic Systems ◽  
Key Technology ◽  
Robot Systems ◽  
And Control

Industrieroboter sind zu einer Schlüsseltechnologie in der Produktion geworden. Mit dem steigenden Einsatz von diversen Robotersystemen wächst das Bedürfnis, deren Kompatibilität zu steigern. Heutzutage gibt es keine Technologie in der Industrie, die eine standardisierte Programmierung und Steuerung von verschiedenen Robotersystemen gewährleisten kann. Dieser Fachbeitrag präsentiert ein einheitliches Konzept, welches die Anwendung von herstellerneutralen Roboterapplikationen ermöglicht.   Industrial robots have become a key technology in production. The increasing use of various robotic systems, raises the need to enhance their compatibilit.y Nowadays, there is no technology in the industry to guarantee a standardized programming and control of different robot systems. This article presents a concept enabling the use of manufacturer-independent robot applications.

Industrial 4.0 of Service and Manufacturing in Java-Indonesia: Level of Implementation

2021 ◽  
Vol 13 (1) ◽  
pp. 36
Author(s):  
Dewi Nusraningrum ◽  
Salmi Mohd. Isa ◽  
Dipa Mulia
Keyword(s):  
Operating System ◽  
Operating Systems ◽  
Industry 4.0 ◽  
Sampling Method ◽  
Developed Countries ◽  
Manufacturing Industries ◽  
Manufacturing Companies ◽  
Purposive Sampling ◽  
Service Companies ◽  
The World

The application of industry 4.0 has been doing in many countries in the world today even some developed countries have headed to industry 5.0, nevertheless in Indonesia there are still many companies that have not implemented industry 4.0. This research aims to find out the extent of the implementation of industry 4.0 in Indonesia, especially the industry located on the island of Java.The industry 4.0 aspects as a benchmark of differentiator from previous industrial developments is worth scrutinized to know its application levels in the service and manufacturing industries. Although many industries still combine their operating system between the 4.0 industry and conventional operating systems. The populations are the services and manufacturing companies. The data was obtained by using a questionnaire distributed online to respondents with a purposive sampling method. The data was grouped according to The level of implementation and is centered. The calculation and percentage results demonstrate that the level of implementation of the 4.0 industry with a technology base in service companies and manufacturing companies are at a managed level. It illustrates that the companies being researched have not been fully on the demands of the 4.0 industry.

scholarly journals Industry 4.0 Implementation Challenges in Manufacturing Industries: an Interpretive Structural Modelling Approach

2020 ◽  
Vol 176 ◽  
pp. 2384-2393
Author(s):  
Ahmad Reshad Bakhtari ◽  
Vineet Kumar ◽  
Mohammad Maqbool Waris ◽  
Cesar Sanin ◽  
Edward Szczerbicki
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industries ◽  
Structural Modelling ◽  
Interpretive Structural Modelling ◽  
Implementation Challenges ◽  
Modelling Approach

Supporting Semantic Capture During Kinesthetic Teaching of Collaborative Industrial Robots

2018 ◽  
Vol 12 (01) ◽  
pp. 167-186 ◽  
Author(s):  
Maj Stenmark ◽  
Mathias Haage ◽  
Elin A. Topp ◽  
Jacek Malec
Keyword(s):  
Domain Knowledge ◽  
Semantic Information ◽  
Industrial Robot ◽  
Semantic Context ◽  
Industrial Robots ◽  
Teaching Mode ◽  
Language Support ◽  
Semantic Data ◽  
Robot Systems ◽  
System Knowledge

Industrial robot systems being deployed today do not contain domain knowledge to aid robot operators in setup and operational use. To gather such knowledge in a robotic context requires mechanisms for entering and capturing semantic data. Such mechanisms would allow a system to gradually build a working vocabulary while interacting with the environment and operators, valuable for the bootstrapping system knowledge and ensuring the data collection over time. This paper presents a prototype user interface that assists the kinesthetic teaching mode of a collaborative industrial robot, allowing for the capture of semantic information while working with the robot in day-to-day use. Two modalities, graphical point-and-click and natural language, support capture of semantic context and the building of a working vocabulary of the environment while modifying or creating robot programs. A semantic capture experiment illustrates the approach.

Intelligent Robot Systems for Manipulation of Non-Rigid Objects

2017 ◽  
Vol 260 ◽  
pp. 20-29 ◽  
Author(s):  
Nikos A. Aspragathos
Keyword(s):  
Main Part ◽  
State Of The Art ◽  
Robotic Manipulation ◽  
Robotic Systems ◽  
Elastic Behavior ◽  
Intelligent Robot ◽  
Bending Rigidity ◽  
Future Directions ◽  
Rigid Objects ◽  
Robot Systems

In this paper, methodologies are presented for the development of intelligent robot systems for the manipulation of linear and sheet like objects with low and/or very low bending rigidity. In the introduction the non-rigid objects are defined and classified considering their shape, bending rigidity and extensibility. The industrial and service applications of these systems are presented and the state of the art approaches for the manipulation of various categories of the non-rigid objects are presented. A brief State-of the-Art on the manipulation of the deformable objects with relatively low bending rigidity and presenting elastic behavior like foam, sheet metal is presented as well.The main part of the paper is devoted to the robotic manipulation of the sheet-like objects with very low rigidity such as fabrics and leather. Laboratory demonstrators accompany the presentation of the developed intelligent robotic systems for manipulation of non-rigid objects and the paper concludes with hints for the future directions of the research and development in robotic systems for handling non-rigid objects.

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