Successful employment of data-driven solutions, particularly based on deep learning approaches usually requires a big amount of data. However, due to various limitations in the acquisition of data from the real process, its availability is
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The two most well-known and widespread machine learning paradigms are unsupervised and supervised learning. However, in the last three decades, another paradigm of machine learning called reinforcement learning has attracted significant attention in the research
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Industrial Control System (ICS) represents a common term that relates to different types of control systems which usually include the devices, systems, and networks used to operate and/or automate industrial processes. Today, ICSs are fully
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Manufacturing environments are inherently unstructured and unexpected changes can significantly reduce efficiency and increase overall manufacturing time. Thereupon, the ability of manufacturing entities, such as mobile robots, to adapt to these changes and stochastic processes
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Throughout the years, mobile robotic systems have shown time and time again their irreplaceable role in modern society. Firstly, they were only utilized for research purposes and employed within manufacturing or storage environments. However, nowadays,
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Semantic segmentation represents the process of labeling every pixel in the image with the pixel's class. Therefore, the image is no longer defined with RGB values but with the semantic map when the semantic segmentation
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Generative Adversarial Networks for one-dimensional data

August 30, 2022

Successful employment of data-driven solutions, particularly based on deep learning approaches usually requires a big amount of data. However, due to various limitations in the acquisition of data from the real process, its availability is still a major challenge. For instance, the Industry 4.0 factory implies frequent reconfiguration which reduces the time intervals available for […]

Reinforcement learning

August 25, 2022

The two most well-known and widespread machine learning paradigms are unsupervised and supervised learning. However, in the last three decades, another paradigm of machine learning called reinforcement learning has attracted significant attention in the research field. What is reinforcement learning? When we think about the nature of learning, the first thing we have in mind […]

MISSION4.0 team members presented papers at IcETRAN 2022 and ICNT-2022 conference

June 28, 2022

In early June, MISSION4.0 project team members participated in the 8th international conference IcETRAN 2022, which was held at Novi Pazar. As part of the „Robotics and flexible automation 1“ session, Associate Prof. Dr. Nikola Slavković, Associate Prof. Dr. Milica Petrović and Teach. Asst. Dušan Nedeljković presented three research papers to the audience at the […]

MISSION4.0 team members were participants of India-Serbia workshop

June 17, 2022

Members of our team Associate Professor Dr. Milica Petrović and Dušan Nedeljković presented the results of the research carried out within the MISSION4.0 project at the workshop called “India-Serbia workshop on selected topics of artificial intelligence and information technology techniques and applications”. The workshop was held from June 13-15 in the Serbian Academy of Science […]

MISSION4.0 project was a part of the science-popular event called Science Picnic

June 8, 2022

MISSION4.0 project team members participated in the Science Picnic held on the 4th and 5th of June at Ada Ciganlija. The Science Picnic is an event organized by the Science Festival, which aims to show children of all ages the exciting and beautiful side of science. The stand of MISSION4.0 project was one of the […]

MISSION4.0 project at the International Fair of Technics and Technical Achievements

May 30, 2022

Unlike the last year, when the International Fair of Technics and Technical Achievements was canceled due to the pandemic caused by the COVID-19 virus, this year, fans of technique and technology again got the opportunity to attend this popular event. More than 500 exhibitors, including representatives of manufacturing and design companies, as well as scientific […]

Deep learning for cyber-attack detection in industrial control systems

April 18, 2022

Industrial Control System (ICS) represents a common term that relates to different types of control systems which usually include the devices, systems, and networks used to operate and/or automate industrial processes. Today, ICSs are fully employed in many industrial sectors and critical infrastructures such as manufacturing, energy, and transportation. According to the control principles, ICSs […]

Object detection for mobile robots in manufacturing environment

April 8, 2022

Manufacturing environments are inherently unstructured and unexpected changes can significantly reduce efficiency and increase overall manufacturing time. Thereupon, the ability of manufacturing entities, such as mobile robots, to adapt to these changes and stochastic processes in a highly dynamic manufacturing environment is of utmost importance. Mobile robots should be equipped with a robust vision system […]

Textbook for the course „Intelligent Manufacturing Systems“ has been published

March 10, 2022

A textbook entitled „Intelligent manufacturing systems with theory and application in robotics and artificial intelligence“, published by the University of Belgrade – Faculty of Mechanical Engineering, was presented to the scientific and educational society in 2021. The textbook written by the MISSION4.0 project members, Full Prof. Dr. Zoran Miljković and Associate Prof. Dr. Milica Petrović, […]

Classification of Wheeled Mobile Robot Configurations

March 8, 2022

Throughout the years, mobile robotic systems have shown time and time again their irreplaceable role in modern society. Firstly, they were only utilized for research purposes and employed within manufacturing or storage environments. However, nowadays, mobile robots started infiltrating the everyday human environments such as hospitals, hotels, and even personal houses. Vacuum cleaning mobile robot […]