Publications

1

Jakovljević, Ž., Nedeljković, D., Cyber Physical Systems in Manufacturing Engineers Education, In 11th International Conference on Machine and Industrial Design in Mechanical Engineering, Scopus indexed book of the Springer Series Mechanisms and Machine Science, with the title Machine and Industrial Design in Mechanical Engineering – Proceedings of KOD 2021, eISBN: 978-3-030-88465-9, DOI: 10.1007/978-3-030-88465-9, https://www.springer.com/gp/book/9783030884642, 2021 (M13).

2

Petrović, M., Jokić, A., Kulesza, Z., Miljković, Z., Deep learning of mobile service robots, In: Book Service robots – Advances in Research and Applications, pp. 77-97 (ISBN 978-1-53619-573-6 (Hardcover), 978-1-53619-643-6 (eBook)), Nova Science Publishers, New York, https://novapublishers.com/shop/service-robots-advances-in-research-and-applications/, 2021 (M13).

3

Jokić, A., Petrović, M., Kulesza, Z., Miljković, Z., Visual Deep Learning-based Mobile Robot Control: A Novel Weighted Fitness Function-based Image Registration Model, In: Karabegović I. (eds) New Technologies, Development and Application IV (NT 2021). Lecture Notes in Networks and Systems, vol. 233. Springer, Cham, pp. 744-752 (ISBN 978-3-030-75274-3), DOI: 10.1007/978-3-030-75275-0_82, https://link.springer.com/chapter/10.1007/978-3-030-75275-0_82, 2021 (M13).

4

Đokić, L., Jokić, A., Petrović, M., Miljković, Z., Design and development of a holonomic mobile robot for material handling and transportation tasks, In: Karabegović I. (eds) New Technologies, Development and Application IV (NT 2021). Lecture Notes in Networks and Systems, vol. 233. Springer, Cham, pp. 709-716 (ISBN 978-3-030-75274-3), DOI: 10.1007/978-3-030-75275-0_78, https://link.springer.com/chapter/10.1007/978-3-030-75275-0_78, 2021 (M13).

5

Jevtić, Đ., Svorcan, J., Radulović, R., Flight Mechanics, Aerodynamics and Modelling of Quadrotor, In: Karabegović I. (eds) New Technologies, Development and Application IV (NT 2021). Lecture Notes in Networks and Systems, vol. 233. Springer, Cham, pp. 681-689 (ISBN 978-3-030-75274-3), DOI: 10.1007/978-3-030-75275-0_75, https://link.springer.com/chapter/10.1007/978-3-030-75275-0_75, 2021 (M13).

6

Miljković, Z., Jokić, A., Petrović, M., Image Registration Algorithm for Deep Learning-Based Stereo Visual Control of Mobile Robots, In: Koubaa A., Azar A.T. (eds) Deep Learning for Unmanned Systems. Studies in Computational Intelligence, vol 984. Springer, Cham, pp. 447-479 (ISBN 978-3-030-77938-2), DOI: 10.1007/978-3-030-77939-9_13, https://link.springer.com/chapter/10.1007%2F978-3-030-77939-9_13, 2021 (M13).

7

Jokić, A., Petrović, M., Miljković, Z., Real-time Mobile Robot Perception based on Deep Learning Detection Model, In: Karabegović, I., Kovačević, A., Mandžuka, S. (eds) New Technologies, Development and Application V (NT 2022). Lecture Notes in Networks and Systems, vol 472. Springer, Cham, pp. 670-677 (ISBN 978-3-031-05229-3), DOI: 10.1007/978-3-031-05230-9_80, https://doi.org/10.1007/978-3-031-05230-9_80, https://link.springer.com/chapter/10.1007/978-3-031-05230-9_80 , 2022 (M13).

8

Miljković, Z., Jevtić, Đ., Object Detection and Reinforcement Learning Approach for Intelligent Control of UAV. In: Karabegović, I., Kovačević, A., Mandžuka, S. (eds) New Technologies, Development and Application V (NT 2022). Lecture Notes in Networks and Systems, vol 472. Springer, Cham, pp. 659-669 (ISBN 978-3-031-05229-3), DOI: 10.1007/978-3-031-05230-9_79, https://link.springer.com/chapter/10.1007/978-3-031-05230-9_79, 2022 (M13).

9

Miljković, Z., Đokić, L., Petrović, M., Application of convolutional neural networks for visual control of intelligent robotic systems, In: Sibalija, T., Davim., P. (eds) Soft Computing in Smart Manufacturing: Solutions toward Industry 5.0. Series Advanced Mechanical Engineering, pp. 83-112 (ISBN 9783110693171 (Hardcover), 9783110693225 (eBook)), Walter de Gruyter GmbH & Co KG, https://www.degruyter.com/document/doi/10.1515/9783110693225-003/html, December 2021 (M13).

10

Babic, B., Digital twins in smart manufacturing, In: Sibalija, T., Davim., P. (eds) Soft Computing in Smart Manufacturing: Solutions toward Industry 5.0. Series Advanced Mechanical Engineering, pp. 113-134, (ISBN 9783110693171 (Hardcover), 9783110693225 (eBook)), Walter de Gruyter GmbH & Co KG, https://www.degruyter.com/document/doi/10.1515/9783110693225-004/html, December 2021 (M13).

11

Petrović, M., Miljković, Z., Jokić, A., Efficient Machine Learning of Mobile Robotic Systems based on Convolutional Neural Networks, Artificial intelligence for Robotics and Autonomous Systems. Studies in Computational Intelligence, A. Koubaa and A. T. Azar, Eds. Springer, Chapter under review.

1

Nedeljković, D., Jakovljević, Ž., Miljković, Z., Pajić, M., Detection of cyber-attacks in systems with distributed control based on support vector regression, Telfor Journal, 12(2), pp. 104-109 (ISSN 1821-3251, eISSN 2334-9905), DOI: 10.5937/telfor2002104N, http://journal.telfor.rs/Published/Vol12No2/Vol12No2_A6.pdf, 2020 (M53).

2

Miljković, K., Petrović, M., Integrated process planning and scheduling in dynamic environment – the state-of-the-art, TEHNIKA Journal, 69(6), pp. 733-746 (ISSN 0040-2176), UDC: 621:620.17, DOI: 10.5937/tehnika2006733M, https://www.sits.org.rs/include/data/docs2807.pdf, December 2020 (M51).

3

Lesi, V., Jakovljevic, Z., Pajic, M., Security Analysis for Distributed IoT-Based Industrial Automation, IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2021.3106335, https://cpsl.pratt.duke.edu/sites/cpsl.pratt.duke.edu/files/docs/lesi_tase21.pdf, (M21 – international journal, Science Citation Index-Web of Science® – IF = 5.083 (2020); source KoBSON).

4

Slavkovic, N., Zivanovic, S., Vorkapic, N., Configuring a Virtual Prototype of a Biscara Robot, TEHNIKA Journal, 70(3), pp. 311-317 (ISSN 0040-2176), UDC: 004.896, DOI: 10.5937/tehnika2103311S, https://www.sits.org.rs/include/data/docs2890.pdf, 2021 (M51).

5

Đokić L., Jokić A., Petrović M., Slavković N., Miljković Z., Application of Metaheuristic Optimization Algorithms for Image Registration in Mobile Robot Visual Control, Serbian Journal of Electrical Engineering, 18(2), pp. 155-170, DOI: 10.2298/SJEE2102155D, http://www.journal.ftn.kg.ac.rs/Vol_18-2/02-Djokic-Jokic-Petrovic-Slavkovic-Miljkovic.pdf, June 2021 (M52).

6

Jokić, A., Petrović, M., Miljković, Z., Semantic segmentation based stereo visual servoing of nonholonomic mobile robot in intelligent manufacturing environment, Expert Systems with Applications, 190, Article number 116203, DOI: 10.1016/j.eswa.2021.116203, https://www.sciencedirect.com/science/article/pii/S0957417421015189?via%3Dihub, Available online 15 November 2021, (M21a – international journal, Science Citation Index-Web of Science® – IF = 6.954 (2020); source KoBSON).

7

Vesović, M., Jovanović, R., Trišović, N., Control of a DC motor using feedback linearization and grey wolf optimization algorithm, Advances in Mechanical Engineering, 14(3), DOI: 10.1177/16878132221085324, https://journals.sagepub.com/doi/full/10.1177/16878132221085324, Available online 10 March 2022, (M23 – international journal, Science Citation Index-Web of Science® – IF = 1.316 (2020); source KoBSON).

8

Markovic, V., Jakovljevic Z., Budak, I., Automatic recognition of cylinders and planes from unstructured point clouds, Visual Computer, DOI: 10.1007/s00371-021-02299-9, https://link.springer.com/article/10.1007/s00371-021-02299-9, 2021, (M22 – international journal, Science Citation Index-Web of Science® – IF = 2.601 (2020); source KoBSON).

9

Petrović, M., Ciężkowski, M., Romaniuk, S., Wolniakowski, A., Miljković, Z., A Novel Hybrid NN-ABPE-Based Calibration Method for Improving Accuracy of Lateration Positioning System, Sensors, 21(24), Article number 8204, DOI: 10.3390/s21248204, https://www.mdpi.com/1424-8220/21/24/8204, December 2021, (M21 – international journal, Science Citation Index-Web of Science® – IF = 3.576 (2020); source KoBSON).

10

Slavkovic, N., Zivanovic, S., Vorkapic, N., Dimic, Z., Development of the Programming and Simulation System of 4-axis Robot with Hybrid Kinematic. FME Transactions, 50(3), pp. 403-411 (ISSN 1451-2092, eISSN 2406-128X), DOI: 10.5937/fme2203403S, https://www.mas.bg.ac.rs/_media/istrazivanje/fme/vol50/3/2_n._slavkovic_et_al.pdf, 2022 (M24).

11

Nedeljkovic, D., Jakovljevic, Z., CNN based method for the development of cyber-attacks detection algorithms in industrial control systems, Computers & Security, 114, Article number 102585, DOI: 10.1016/j.cose.2021.102585, https://www.sciencedirect.com/science/article/pii/S0167404821004089?via%3Dihub, Available online 22 December 2021, (M21 – international journal, Science Citation Index-Web of Science® – IF = 5.105 (2021); source KoBSON).

12

Petrović, M., Jokić, A., Miljković, Z., Kulesza, Z., Multi-Objective Scheduling of Single Mobile Robot Based on Grey Wolf Optimization Algorithm, DOI: 10.2139/ssrn.4058009, Preprint version available at SSRN: https://ssrn.com/abstract=4058009, Revised paper submitted on September 14th, 2022.

13

Jokić, A., Đokić, L., Petrović, M., Miljković, Z., Data Augmentation Methods for Semantic Segmentation-based Mobile Robot Perception System, Serbian journal of electrical engineering, Paper is submitted and is currently under review since May, 2022.

14

Lesi, V., Jakovljevic, Z., Pajic, M., IoT-enabled Motion Control: Architectural Design Challenges and Solutions, IEEE Transactions on Industrial Informatics, (ISSN 1551-3203, eISSN 1941-0050), DOI: 10.1109/TII.2022.3202175, https://ieeexplore.ieee.org/abstract/document/9869313, (M21a – international journal, Science Citation Index-Web of Science® – IF = 11.648 (2021); source KoBSON).

15

Jovanović, R., Zarić, V., Bučevac, Z., Bugarić, U., Discrete-Time System Conditional Optimization Based on Takagi–Sugeno Fuzzy Model Using the Full Transfer Function, Applied Sciences, 12(5), DOI: 10.3390/app12157705, https://www.mdpi.com/2076-3417/12/15/7705, Published on 31 July, 2022, (M22 – international journal, Science Citation Index-Web of Science® – IF = 2.838 (2021); source KoBSON).

16

Jovanović. R., Bugarić, U., Vesović, M., Perišić, N., Fuzzy Controller Optimized by the African Vultures Algorithm for Trajectory Tracking of a Two–Link Gripping Mechanism. FME Transactions, 50(3), pp. 491-501 (ISSN 1451-2092, eISSN 2406-128X), DOI:10.5937/fme2203491J, https://www.mas.bg.ac.rs/_media/istrazivanje/fme/vol50/3/10_r._jovanovic_et_al.pdf, 2022 (M24).

17

Jovanović, R., Vesović, M., Adaptivni neuro fazi sistemi u identifikaciji, modelovanju i upravljanju – pregled stanja u oblasti istraživanja, TEHNIKA Journal, Paper submitted.

1

Babic, B., Višic, J., Ðermanovic, A., Digital twins in the smart manufacturing and industry 4.0, In 42th JUPITER Conference, Proceedings – CD (in Serbian), pp. 1.1-1.11 (ISBN 978-86-6060-055-6), Belgrade, Serbia, 6-7 October 2020 (M63).

2

Jakovljevic, Ž., Nedeljkovic, D., Ševarlic, F., Puzovic, R., Communication between manufacturing resources using OPC-UA standard, In 42th JUPITER Conference, Proceedings – CD (in Serbian), pp. 4.1-4.12 (ISBN 978-86-6060-055-6), Belgrade, Serbia, 6-7 October 2020 (M63).

3

Nedeljkovic, D., Jakovljevic, Ž., Miljkovic, Z., Image classification based on convolutional neural networks, In 42th JUPITER Conference, Proceedings – CD (in Serbian), pp. 4.13-4.23 (ISBN 978-86-6060-055-6), Belgrade, Serbia, 6-7 October 2020 (M63).

4

Miljkovic, K., Petrovic, M.M., Jovanovic, R., Towards development of DC servo motor intelligent control by applying artificial neural networks, In 42th JUPITER Conference, Proceedings – CD (in Serbian), pp. 4.24-4.35 (ISBN 978-86-6060-055-6), Belgrade, Serbia, 6-7 October 2020 (M63).

5

Laban, L., Jovanovic, R., Vesovic, M., Zaric, V., Classification of Chest X-Ray Images Using Deep Convolutional Neural Networks, In 7th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2020), pp. 18-23 (ISBN 978-86-7466-852-8), Belgrade, Serbia, 28-29 September 2020 (M33).

6

Vesovic, M., Jovanovic, R., Laban, L., Zaric, V., Modelling and Control of a Series Direct Current (DC) Machines Using Feedback Linearization Approach, In 7th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2020), pp. 191-196 (ISBN 978-86-7466-852-8), Belgrade, Serbia, 28-29 September 2020 (M33).

7

Jovanovic, R., Zaric, V., Vesovic, M., Laban, L., Modelling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm, In 7th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2020), pp. 197-202 (ISBN 978-86-7466-852-8), Belgrade, Serbia, 28-29 September 2020 (M33).

8

Ðokic, L., Jokic, A., Petrovic, M., Miljkovic, Z., Biologically Inspired Optimization Methods for Image Registration in Visual Servoing of a Mobile Robot, In 7th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2020), pp. 715-720 (ISBN 978-86-7466-852-8), Belgrade, Serbia, 28-29 September 2020 (M33).

9

Nedeljkovic, D., Jakovljevic, Ž., Cyber-attack detection method based on RNN, In 7th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2020), pp. 726-731 (ISBN 978-86-7466-852-8), Belgrade, Serbia, 28-29 September 2020 (M33).

10

Nedeljković, D., Jakovljević, Ž., Integration of Smart Vision Sensor into Manipulator Control System using OPC-UA, In 28th Telecommunications Forum (TELFOR 2020), (ISBN 978-0-7381-4244-9, eISBN 978-0-7381-4243-2), Belgrade, Serbia, 24-25 November 2020 (M33).

11

Miljković, Z., Petrović, M., A Survey of Swarm Intelligence-based Optimization Algorithms for Tuning of Cascade Control Systems: Concepts, Models and Applications, In 5th International Conference “Mechanical Engineering in the 21st Century” (MASING 2020), pp. 3-8 (ISBN 978-86-6055-139-1), Niš, Serbia, 9-10 December 2020, (Keynote invited paper – plenary session) (M31).

12

Laban, L., Vesović, M., Classification of COVID-CT Images Utilizing Four Types of Deep Convolutional Neural Networks, In 5th International Conference “Mechanical Engineering in 21st Century” (MASING 2020), pp. 201-206 (ISBN 978-86-6055-139-1), Niš, Serbia, 9-10 December 2020 (M33).

13

Vesović, M., Jovanović, R., Zarić, V., Modelling and Speed Control in a Series Direct Current (DC) Machines Using Feedback Linearization Approach, In 5th International Conference “Mechanical Engineering in 21st Century” (MASING 2020), pp. 207-212 (ISBN 978-86-6055-139-1), Niš, Serbia, 9-10 December 2020 (M33).

14

Zarić, V., Jovanović, R., Laban, L., Identification of a Coupled-Tank Plant and Takagi-Sugeno Model Optimization Using a Whale Optimizer, In 5th International Conference “Mechanical Engineering in 21st Century” (MASING 2020), pp. 213-216 (ISBN 978-86-6055-139-1), Niš, Serbia, 9-10 December 2020 (M33).

15

Jovanović, R., Bugarić, U., Laban, L., Vesović, M., Trajectory Tracking of a Two – Link Gripping Mechanism, In 10th International Scientific Conference Heavy Machinery – HM 2021, pp. C1-8 (M33).

16

Vesović, M., Jovanović, R., Laban, L., Bugarić, U., Feedback Linearization Control of a Two – Link Gripping Mechanism, In 10th International Scientific Conference Heavy Machinery – HM 2021, pp. C9-16 (M33).

17

Jokić, A., Đokić, L., Petrović, M., Miljković, Z., A Mobile Robot Visual Perception System based on Deep Learning Approach, In 8th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2021), pp. 568-572 (ISBN: 978-86-7466-894-8), Stanišići, Bosnia and Herzegovina, 8-10 September 2021 (M33).

18

Jakovljevic, Z., Nedeljkovic, D., Distribution of Control Tasks to Smart Devices in Industrial Control Systems: a Case Study, In 8th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2021), pp. 585-590 (ISBN: 978-86-7466-894-8), Stanišići, Bosnia and Herzegovina, 8-10 September 2021 (M33).

19

Nedeljković, D., Jakovljević, Ž., Implementation of CNN based algorithm for cyber-attacks detection on a real-world control system, In 14th International Scientific Conference MMA 2021 – Flexible Technologies, pp. 119-122 (ISBN 978-86-6022-364-9), Novi Sad, Serbia, 23-25 September 2021 (M33).

20

Miljković, Z., Jevtić, Đ., Svorcan, J., Reinforcement learning approach for autonomous UAV navigation in 3D space, In 14th International Scientific Conference MMA 2021 – Flexible Technologies, pp. 189-192 (ISBN 978-86-6022-364-9), Novi Sad, Serbia, 23-25 September 2021 (M33).

21

Slavković, N., Vorkapić, N., Živanović, S., Dimić, Z., Kokotović, B., Virutal BiSCARA robot integrated with open-architecture control system, In 14th International Scientific Conference MMA 2021 – Flexible Technologies, pp. 63-66 (ISBN 978-86-6022-364-9), Novi Sad, Serbia, 23-25 September 2021 (M33).

22

Miljković, Z., Đokić, L., Petrović, M., Object detection and tracking in cooperative multi-robot transportation, In 38th International Conference on Production Engineering (ICPE-S 2021), pp. 137-143 (ISBN 978-86-7776-252-0), Čačak, Serbia, 14-15 October 2021 (M33).

23

Nedeljković, D., Stanojević, S., Puzović, R., Jakovljević, Ž., Integracija proizvodnih resursa u sistem za izvršavanje proizvodnje korišćenjem OPC-UA, In 13th ETIKUM conference, pp. 65-68 (ISBN 978-86-6022-387-8), Novi Sad, Serbia, December 2021 (M63).

24

Vesović, M., Jovanović, R., Grey wolf optimization for position control of a direct current motor driven by feedback linearization method, In International scientific conference on information technology and data related research, pp. 36-43 (ISBN: 978-86-7912-800-3), Belgrade, Serbia, April 16th 2022 (M33).

25

Perišić, N., Jovanović, R., Convolutional neural networks for real and fake face classification, In International scientific conference on information technology and data related research, pp. 29-35 (ISBN: 978-86-7912-800-3), Belgrade, Serbia, April 16th 2022 (M33).

26

Jokić, A., Petrović, M., Miljković, Z., Mobile robot decision-making system based on deep machine learning, In 9th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2022), pp. 635-638 (ISBN: 978-86-7466-930-3), Novi Pazar, Serbia, 6-9 June 2022 (M33).

27

Slavković, N., Živanović, S., Dimić, Z., Vorkapić, N., Method for Configuring Virtual Robot as an Integral Part of the Control System, In 9th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2022), pp. 639-644 (ISBN: 978-86-7466-930-3), Novi Pazar, Serbia, 6-9 June 2022 (M33).

28

Nedeljković, D., Jakovljević, Ž., GAN-based Data Augmentation in the Design of Cyber-attack Detection Methods, In 9th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2022), pp. 651-656 (ISBN: 978-86-7466-930-3), Novi Pazar, Serbia, 6-9 June 2022 (M33).

29

Petrović, M., Jokić, A., Miljković, Z., Kulesza, Z., Multi-Objective Population-Based Optimization Algorithms for Scheduling of Manufacturing Entities, In 26th International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 403-407 (ISBN: 978-1-6654-6857-2), Miedzyzdroje, Poland, 22-25 August 2022 (M33).

30

Jovanović, R., Bugarić, U., Vesović, M., Perišić, N., Fuzzy and nonlinear control of the gripping mechanism and a direct current motor – overview of the research results within the MISSION4.0 project, 43th JUPITER Conference, Paper submitted.

31

Jakovljević, Ž., Nedeljković, D., Cyber security in continuous-time controlled systems – overview of the results within the project of MISSION4.0, 43th JUPITER Conference, Paper submitted.

32

Miljković, Z., Babić, B., Petrović, M., Jokić, A., Miljković, K., Jevtić, Đ., Đokić, L., Intelligent stereo-visual mobile robot control and optimal process planning and scheduling – overview of research results within the project MISSION4.0, 43th JUPITER Conference, Paper submitted.

33

Jovanovic, R., Vesovic, M., Perisic, N., PI controller optimization by artificial gorilla troops for liquid level control, 8th International Conference on Industrial Engineering, Paper submitted.

34

Perisic, N., Jovanović, R., Application of deep learning in quality inspection of casting products, 8th International Conference on Industrial Engineering, Paper submitted.

1

Jokić, A., Petrović, M., Miljković, Z., Dataset for semantic segmentation of the laboratory model of manufacturing environment (Version 0.1.0) [Data set]. Zenodo, http://doi.org/10.5281/zenodo.4138944, 2020.

2

Miljković, K., Petrović, M., Dataset of alternative process plan networks for dynamic integrated process planning and scheduling (Version 0.1.0) [Data set]. Zenodo, http://doi.org/10.5281/zenodo.4400610, 2020.

3

Jokić, A., Petrović, M., Miljković, Z., Babić, B., Mobile robot stereo visual perception system based on deep machine learning, Technical solution, 2021 (M85).

4

Miljković, K., Petrović, M., Babić, B., Dynamic integrated process planning and scheduling based on genetic algorithms, Technical solution, 2021 (M85).

5

Nedeljković, D., Jakovljević, Ž., New datasets obtained from experimental installations with centralized control (Version v.2.0) [Data set]. Zenodo, http://doi.org/10.5281/zenodo.5514351, 2021.

6

Jovanović, R., Bugarić, U., Vesović, M., Laban, L., Optimal motion control of gripping device (In Serbian), Technical solution, 2021 (M85).

7

Nedeljković, D., Lesi, V., Jakovljević, Ž., Pajić, M., New dataset obtained from 2D positioning system with distributed control (Version v1.0) [Data set]. Zenodo, https://doi.org/10.5281/zenodo.6399688, 2022.

8

Nedeljković, D., Jakovljevic, Ž., Deep learning based cyber-attack detection algorithm for energy-limited cyber-physical systems (In Serbian), Technical solution, January 2022 (M85).

9

Petrović, M., Jokić, A., Babić, B., Intelligent Mobile Robot Multi-objective Decision-making System based on Metaheuristic Optimization and Deep Machine Learning (In Serbian), Technical solution, April 2022 (M85).

10

Petrović, J., Semi-structured interviews with key stakeholders on socio-ethical aspects of the use of intelligent robotic systems in Serbia, Summary report, Link: Summary report, June 2022.

11

Petrović, J., Semi-structured interviews with key stakeholders on socio-ethical aspects of the use of intelligent robotic systems in the manufacturing environment, Final report , Link: Final report, August 2022.