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 Associate at the School of Electrical Engineering, University of Belgrade, and a member of ETF Robotics Laboratory. He participated in the Serbian-Slovenian bilateral project in the 2018-2019 period. In 2020 – 2022, he participated in the scientific research project Mechanical Impedance Estimation and Planning for the Next Generation Robots –  ForNextCobot, financed by the Science Fund of the Republic of Serbia. He spent two two-month study research visits, in 2018 and 2019, at the Jožef Stefan Institute in Ljubljana in the Laboratory for Collaborative Robotics (CoBoTaT Laboratory). His interests are the control of collaborative robots and safe physical human-robot interaction.

P4 Marko Đapan

Marko Đapan received the Ph.D. degree from the Faculty of Engineering, University of Kragujevac, Serbia, where he is currently an Associate 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

Dragana Nišić is an Assistant Professor at Faculty of Mining and Geology, University of Belgrade, where she works since 2014. She defended her PhD thesis entitled “The Development of a Risk Assessment model for Industrial Waste Disposal Facilities” at the same Faculty in 2019. Her main research areas are risk assessment of tailings storage facilities and industrial waste management. She gained experience through numerous projects and studies linked to mining waste management, such as: Design projects of tailings storage disposal sites and coal combustion residuals disposal sites, Waste management plans and Environmental impact studies for copper and lead and zinc mines and thermal power plants in Serbia. She is also a Board member and one of the compilers of the World Mine Tailings Failures (WTMF) organization which supports global research in tailings failure root causes, loss prevention and trend analysis.

P8 Miloš Petrović

Miloš Petrović is a PhD student and Research Assistant at the School of Electrical Engineering, University of Belgrade,and a member of ETF Robotics Laboratory. Milos participated in several scientific research projects, and he is currently PI of the project Artificial Intelligence for estimating Muscle activation from human Motion videos in the Fitness Industry (AIFitnessAssistant), financed by the Science Fund of the Republic of Serbia. The main area of his interest is the application of deep learning techniques in computer vision and physical human-robot collaboration, primarily in the industrial environment considering workplace safety and ergonomics.

P9 Ivan Mačužić

Ivan Mačužić received the Ph.D. degree from the Faculty of Engineering, University of Kragujevac, Serbia, where he is currently Full Professor in industrial engineering and engineering management. He has published over 50 scientific papers and participated in National, Tempus, Erasmus+, FP7, and industry projects. His research interests include lean production, scrum, education and training, occupational health and safety at work, and ergonomy.

P10 Uroš Pantelić

Uroš Pantelić is an assistant at the University of Belgrade – Faculty of Mining and Geology (FMG). He completed a master’s degree at the Faculty of Mining and Geology in the study program Environmental Engineering and Safety Engineering. He is a Ph.D. student of Mining engineering, Faculty of Mining and Geology, University of Belgrade. His main areas of research include environmental impact assessment, air dispersion modeling, noise mapping, workplace safety, quality management, etc.