The Industry 4.0 National Technology Platform was established under the leadership of the Institute for Computer Science and Control (SZTAKI), Hungarian Academy of Sciences, with the participation of research institutions, companies, universities and professional organizations having premises in Hungary, and with the full support and commitment of the Government of Hungary, and specifically that of the Ministry of National Economy.
The main, overall objective of the project is to establish the Centre of Excellence in Production Informatics and Control (EPIC CoE) as a leading, internationally acknowledged focus point in the field of cyber-physical production systems. The main goals of the EPIC CoE are, one the one hand, to upgrade this scientific centre of excellence, and on the other hand, to strengthen the ability of SZTAKI and the two faculties of BME to transfer the research results to the industry with the support of the participating FhG institutions, with other words to enhance the applied resea
MTA SZTAKI, EMI Laboratory has started a 24 month long, EUREKA international R&D&I cooperation project under the acronym: INTRO4.0 , on the 1st of April, 2016. Due to the international EUREKA project class, the national partners prepare cooperation based efforts, in this case with the German KIT, Karlsruhe Institute of Technology, which acts also as the coordinator. Among the Hungarian partners, HEPENIX Research and Development Ltd. plays the national industrial coordinator’s role, and SZTAKI is the RTD academic partner.
Started in January 2016, the EXCELL project (Actions for Excellence in Smart Cyber-Physical Systems applications through exploitation of Big Data in the context of Production Control and Logistics) foresees the collaboration of researchers from four European countries (Hungary, Germany, United Kingdom, Belgium) in the field of Cyber-Physical Systems and Big Data applications serving production and logistics networks.
Since autumn 2015, our laboratory cooperates with Hoya Szemüveglencse Gyártó Magyarország Ltd. within the topics of simulation analysis and „Industry 4.0”. The primary goal of the project is to model different segments of the company’s plant in Mátészalka, according to different capacity planning and process improvement criteria. Within the developments and workshops of the cooperation, the engineers of Hoya picked up the basics of simulation modelling, enabling them to use this technology in the everyday practice.
The European manufacturing industry is facing challenges in terms of adaptability, flexibility and vertical integration. The SYMBIO-TIC project adresses these important issues towards a safe, dynamic, intuitive and cost effective working environment were inmersive and symbiotic collaboration between human workers and robots can take place.
Execute the research and development program, that was defined by the key regional members of manufacturing-machining-automotive-mechatronics branches. With national and global players, realization of future oriented, strategically important, technically clearly defined and interrelated, targeted research and development activities.
The RobustPlaNet project aims at developing an innovative technology-based business approach that will drastically change the current rigid supply chain mechanisms and the current product-based business models into collaborative and robust production networks able to timely deliver innovative product-services in very dynamic and unpredictable, global environments.
Az E+grid adaptív intelligens energia-pozitív közvilágítási rendszer kifejlesztését a napenergia közvilágítási rendszerekben történő felhasználása, az intelligens energiahálózatok (smart grid) terjedése, az energiatakarékosságra való törekvés, valamint az intelligens városokban (smart cities) a közvilágítástól elvárt hozzáadott szolgáltatások motiválták.
RLW Navigator aims to develop an innovative Process Navigator to configure, integrate, test and validate applications of Remote Laser Welding (RLW) in automotive assembly addressing today’s critical needs for frequently changing operating conditions and product-mix provisions. Thus, RLW Navigator will crucially serve as an enabler for future energy efficient smart factories. Our Laboratory is responsible for configuring RLW robotic cells, generating optimal off-line robot programs, as well as simulating the operation of cells.