SPISAK RADOVA

 

Poglavlje u monografiji međunarodnog značaja ili rad u tematskom zborniku međunarodnog značaja

  1. 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 Applications. Studies in Computational Intelligence, Edited by Prof. Ahmad Taher Azar and Prof. Anis Koubaa Springer, In Press.
  2. 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
  3. 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). → M13
  4. Petrović, M., Jokić, A., Kulesza, Z., Miljković, Z., Deep learning of mobile service robots, In Book: Service robots – Advances in Research and Applications, 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/, pp. 77-97, 2021. → M13
  5. Jokić, A., Petrović, M., Zbigniew, K., 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, ISBN 978-3-030-75274-3, pp. 744-752, 2021, https://doi.org/10.1007/978-3-030-75275-0_82. → M13
  6. 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, ISBN 978-3-030-75274-3, pp. 709-716, 2021, https://doi.org/10.1007/978-3-030-75275-0_78. → M13

Radovi objavljeni u naučnim časopisima međunarodnog značaja

  1. Petrović, M., Miljković, Z., Jokić, A., A novel methodology for optimal single mobile robot scheduling using whale optimization algorithm, Applied Soft Computing, 81 (2019), Article number 105520, DOI: 10.1016/j.asoc.2019.105520 (M21a, Science Citation Index-Web of Science® – IF = 5.472 (2019); izvir KoBSON)
  2. 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, Science Citation Index-Web of Science® – IF = 6.954 (2020); source KoBSON).
  3. Petrović, M., Jokić, A., Miljković, Z., Kulesza, Z., Multi-Objective Scheduling of Single Mobile Robot Based on Grey Wolf Optimization Algorithm, In Press, Article number 109784, Applied Soft Computing, SSRN: https://ssrn.com/abstract=4058009 (M21a, Science Citation Index-Web of Science® – IF = 8.263 (2021), izvor KoBSON) 2022.

Radovi u časopisima nacionalnog značaja

  1. Jokić, A., Petrović, M., Miljković, Z., Metode vizuelnog upravljanja robotskih sistema – pregled stanja u oblasti istraživanja, Časopis TEHNIKA, 67 (6) (2018), str. 801-816, ISSN 0040-2176, eISSN 256-3086. → M51
  2. 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, 2021. → M52
  3. Jokić, A., Đokić, L., Petrović, M., Miljković, Z., Data Augmentation Methods for Semantic Segmentation-based Mobile Robot Perception System, Serbian journal of electrical engineering, 19(3), pp. 291-302, DOI: https://doi.org/10.2298/SJEE2203291J, https://sjee.ftn.kg.ac.rs/index.php/sjee/article/view/927/567, 2022. → M52

Radovi saopšteni na skupovima međunarodnog značaja, štampani u celini

  1. 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
  2. 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
  3. 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 (Nagrada za najbolji rad mladog istraživača)
  4. Đokić, L., Jokić, A., Petrović, M., Miljković, Z., Biologically Inspired Optimization Methods for Image Registration in Visual Servoing of a Mobile Robot, 7th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2020), ISBN 978-86-7466-852-8, pp. 715-720, Belgrade, Serbia, 2020. → M33
  5. Petrović, M., Mystkowski, A., Jokić, A., Đokić, L., Miljković, Z., Deep Learning-based Algorithm for Mobile Robot Control in Textureless Environment, 2020 15th International Conference Mechatronic Systems and Materials (MSM2020), IEEE Xplore, ISBN 978-1-7281-6957-6, eISBN 978-1-7281-6956-9, DOI: 10.1109/MSM49833.2020.9201666, pp. 1-4, Bialystok, Poland, 2020, https://ieeexplore.ieee.org/abstract/document/9201666 → M33
  6. Đokić, L., Jokić, A., Petrović, M., Miljković, Z., Stereo vision-based algorithm for control of nonholonomic mobile robot, Proceedings of the Third International Student Scientific Conference “Multidisciplinary approach to contemporary research”, Central Institute for Conservation, ISBN 978-86-6179-071-3, pp. 69-82, Belgrade, Serbia, 2019. → M33
  7. Petrović, M., Jokić, A., Miljković, Z. Single mobile robot scheduling: a mathematical modeling of the problem with real-world implementation, Proceedings of the 13th International Scientific Conference MMA 2018 - Flexible Technologies, ISBN 978-86-6022-094-5, pp. 175-178, Novi Sad, Serbia, 2018. → M31
  8. Jokić, A., Petrović, M., Miljković, Z., An Improved Particle Swarm Optimization Algorithm for Scheduling of Single Mobile Robot, Proceedings of the Second International Student Scientific Conference “Multidisciplinary approach to contemporary research”, Central Institute for Conservation, ISBN 978-86-6179-062-1, pp. 46-55, Belgrade, Serbia, 2018. → M33
  9. Jokić, A., Petrović, M., Miljković, Z., Implementation of Image-based visual servoing for nonholonomic mobile robot control, Proceedings of the First International Student Scientific Conference “Multidisciplinary approach to contemporary research”, Central Institute for Conservation, ISBN 978-86-6179-056-0, pp. 223-235, Belgrade, Serbia, 2017. → M33

Radovi saopšteni na skupovima nacionalnog značaja, štampani u celini

  1. Jokić, A., Petrović, M., Miljković, Z., Babić, B. Metaheuristički algoritmi optimizacije u terminiranju robotizovanog unutrašnjeg transporta materijala, 41. JUPITER Konferencija, 37. simpozijum „NU-ROBOTI-FTS“, Zbornik radova – CD, str. 3.14-3.22, Beograd, Srbija, 2018. → M63
  2. Miljković, Z., Babić, B., Petrović, M., Jokić, A., Miljković, K., Jevtić, Đ., Đokić, L., Inteligentno stereo-vizuelno upravljanje mobilnih robota i optimalno terminiranje tehnoloških procesa - pregled rezultata istraživanja u okviru projekta MISSION4.0, 43. JUPITER Konferencija, 39. simpozijum „NU-ROBOTI-FTS“, Zbornik radova – CD, str. 3.13-3.25 (ISBN 978-86-6060-137-9), Beograd, Srbija, 4-5 Oktobar, 2022. → M63

TEHNIČKA REŠENjA - algoritmi, metode, softveri i skupovi podataka

  1. Petrović, M., Jokić, A., Babić, B., Višekriterijumsko odlučivanje inteligentnog mobilnog robota na bazi metoda metaheurističke optimizacije i dubokog mašinskog učenja, (nova metoda). Ova metoda razvijena je u okviru projekta „Integrisana istraživanja u oblasti makro, mikro i nano mašinskog inženjerstva – Duboko mašinsko učenje inteligentnih tehnoloških sistema u proizvodnom mašinstvu“, Ministarstvo prosvete, nauke i tehnološkog razvoja Vlade Republike Srbije (ugovor br. 451-03-9/2021-14/200105), kao i na projektu razvoja veštačke inteligencije pod nazivom „Deep Machine Learning and Swarm Intelligence-Based Optimization Algorithms for Control and Scheduling of Cyber-Physical Systems in Industry 4.0” (AI – MISSION4.0), evidencioni broj 6523109, 2020-2022, koji je finansijski podržan od strane Fonda za nauku Republike Srbije, 2022. → M85
  2. Jokić, A., Petrović, M., Miljković, Z., Babić, B., Stereo vizuelni sistem percepcije mobilnog robota baziran na dubokom mašinskom učenju, (nova metoda). Ova metoda razvijena je u okviru projekta „Integrisana istraživanja u oblasti makro, mikro i nano mašinskog inženjerstva – Duboko mašinsko učenje inteligentnih tehnoloških sistema u proizvodnom mašinstvu“, Ministarstvo prosvete, nauke i tehnološkog razvoja Vlade Republike Srbije (ugovor br. 451-03-9/2021-14/200105), kao i na projektu razvoja veštačke inteligencije pod nazivom „Deep Machine Learning and Swarm Intelligence-Based Optimization Algorithms for Control and Scheduling of Cyber-Physical Systems in Industry 4.0” (AI – MISSION4.0), evidencioni broj 6523109, 2020-2022, koji je finansijski podržan od strane Fonda za nauku Republike Srbije, 2021. → M85
  3. 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.
  4. Jokić, A., Petrović, M., Miljković, Z., Babić, B., Vizuelno upravljanje mobilnog robota u tehnološkom okruženju na bazi informacija dobijenih od kamere (nova metoda). Ova metoda razvijena je u okviru projekta TR-35004 MPNTR Vlade Republike Srbije, 2018. → M85