The multidisciplinary team gathers leading Serbian scientists from two main technological faculties: Faculty of Engineering, University of Kragujevac – FINK (industrial engineering) and School of Electrical Engineering, University of Belgrade – SEE (with the expertise in robotics); complemented by researchers in waste management from Faculty of Mining and Geology; University of Belgrade.

Principal Investigator (PI) - Arso M. Vukicevic

Arso M. Vukićević is docent at the Faculty of Engineering, University of Kragujevac, Serbia. Since 2011, PI has participated in five large FP7 and Horizon projects, where he was focused on the application of computer vision techniques for computer-aided diagnosis and 3D-reconstruction. Since 2014, he has published 22 research articles in leading (Q1/M21) international journals. He is one of the only two Serbian recipants of the NVIDIA GPU Grant Program (Accelerated Data Science Call). From 2019, PI serves as a consultant for a series of companies in the automotive industry interested in automation of quality control by applying AI and Computer vision techniques. In 2020, PI won the grant (Serbian innovation fund) to further develop and commercialize the results of his research work in the area of computer vision.

P1 Kosta Jovanović

Kosta Jovanović is Associate Professor at University of Belgrade – School of Electrical Engineering (ETF) and Head of ETF Robotics lab. He gained his PhD degree in Robotics in 2016 at ETF under supervision of prof. Veljko Potkonjak. His research interests are physical human-robot interaction and collaboration, control of variable stiffness actuators. As a principal investigator (PI) on behalf of ETF, he has already participated in 2 H2020 Innovation Actions in the field of industrial (DIH²) and medical robotics (DIH-HERO), and two cascading H2020 projects (I4MS initiative, project ReconCell). He participated in FP7 project ECCEROBOT. He was visiting researcher at Technical University of Munich (TUM) and DLR Institute on Robotics and Mechatronics. He won many awards (the best graduate student at the department, the best student paper at the University of Belgrade, Nikola Tesla junior achievement award, City of Belgrade Award, DAAD grant for research stay at DLR, etc.).

P2 Maja Trumić

Maja Trumić is research associate. She is a scholarship holder of the Ministry of Education, Science and Technological Development and a third-year doctoral student at the University of Belgrade – School of Electrical Engineering (ETF) and at the University of Palermo in Italy. The area of research is stiffness estimation and adaptive control of soft robots. She won the Dositej scholarship – the Fund for Young Talents of the Republic of Serbia and the scholarship of German business for the internship stay in Bosch Germany where she also did her master thesis. She was awarded by German Academic Exchange Service (DAAD) with research stay at DLR Institute of Robotics and Mechatronics in Germany.

P3 Branko Lukić

Branko Lukić is a Research Assistant at the University of Belgrade – School of Electrical Engineering (ETF). He completed his undergraduate studies in 2012 and his master’s studies in 2013. He enrolled in his Ph.D. studies on Department for Control Systems and Signal Processing at ETF. From 2014-2017 was a scholarship holder of the Ministry, and since 2017 he has been hired on the ETF as a researcher. His research interests include human-robot physical interaction, modelling, and development of control algorithms for robotic systems driven by actuators with variable stiffness. Through his research activities, he was engaged in project “Establishing new tools to facilitate new generation humanoid robot capabilities for collaborative human-robot object manipulation” in collaboration with CoBoTaT laboratory headed by Dr Tadej Petric at the Jožef Stefan Institute (JSI) in Ljubljana. He was visited researcher at JSI at several occasion.

P4 Marko Đapan

Marko Đapan received the Ph.D. degree from the Faculty of Engineering, University of Kragujevac, Serbia, where he is currently an Assistant Professor in industrial engineering and engineering management. He spent 12 months at Politecnico di Torino, Italy specializing in safety and industrial engineering. He has published over 50 research papers in peer-reviewed journals and conferences on the topics related to OSH, industrial engineering, ergonomics. He is participating in the projects of developing user-friendly safety didactic equipment dedicated to the students and industry. 

P5 Nikola Knežević

Nikola Knezević is an assistant at the University of Belgrade – Faculty of Electrical Engineering (ETF). He enrolled in doctoral studies at the Department of Systems Management and Signal Processing in 2018 at the ETF under the mentorship of Dr. Kosta Jovanović. His research interests include human-robot physical interaction, the application of machine learning techniques to bio-inspired robots driven by variable stiffness actuators, as well as industrial robotics and automation. So far, in the course of his work, he has participated in several projects,  some of which are: DIH² – in the field of industrial robotics, DIH-HERO – in the field of medical robotics, ReconCell – collaborative robotics and flexible manufacturing, as well as activities to improve the teaching process in the field of robotics.

P6 Marija Savković

Marija Savković is a researcher at the Faculty of Engineering, University of Kragujevac, Serbia. She graduated from the Faculty of organized sciences at the University of Belgrade. She completed her master’s degree at the Faculty of Economics, University of Kragujevac. She is a Ph.D. student of Industrial Engineering and engineering management, Faculty of Engineering, University of Kragujevac. Her main areas of research include workplace safety, human-robot collaboration, safety 4.0, lean management, ergonomics, quality management, project management etc.

P7 Dragana Nišić

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P8 Miloš Petrović

Miloš Petrović is Associate Researcher at University of Belgrade – School of Electrical Engineering (ETF) and a member of ETF Robotics lab. He gained his Master’s degree in Optimization Algorithms in 2019 at ETF under supervision of prof. Dragan Olćan. His research interests are physical human-robot collaboration, novel robot actuators and stiffness estimation. During his studies he won numerous prices and awards.

P9 Ivan Mačužić

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P10 Uroš Petrović

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