Branko Miloradovic, Doctoral student
I received the B.Sc. degree in Mechanical Engineering from University of Belgrade, Serbia in 2008; the M.Sc. in Mechanical Engineering from University of Belgrade, Serbia in 2010. I Worked as a research engineer in Mihailo Pupin Institute from 2011-2016, Belgrade, Serbia. I am currently pursuing a PhD in Computer Science.
My research interests include Robotics, Multi-Robot Mission Planning, Combinatorial Optimization, Evolutionary Algorithms, and Task Allocation and Task Scheduling.
DPAC Newsletter Spring 2021 (Jun 2021) Kristina Lundqvist, Mikael Sjödin, Nandinbaatar Tsog, Saad Mubeen, Fredrik Bruhn, Jakob Danielsson, Marcus Jägemar, Tiberiu Seceleanu, Moris Behnam, Afshin Ameri E., Baran Çürüklü, Branko Miloradovic, Mikael Ekström, LanAnh Trinh, Rong Gu, Eduard Paul Enoiu, Cristina Seceleanu, Fereidoun Moradi, Sara Abbaspour Asadollah, Ali Sedaghatbaf, Aida Causevic, Marjan Sirjani, Carolyn Talcott
GMP: A Genetic Mission Planner for Heterogeneous Multirobot System Applications (May 2021) Branko Miloradovic, Baran Çürüklü, Mikael Ekström, Alessandro Papadopoulos IEEE Transactions on Cybernetics (IEEE TCyb)
Exploiting Parallelism in Multi-Task Robot Allocation Problems (Apr 2021) Branko Miloradovic, Baran Çürüklü, Mikael Ekström, Alessandro Papadopoulos 21st IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2021)
Planning and Supervising Autonomous Underwater Vehicles through the Mission Management Tool (Oct 2020) Afshin Ameri E., Baran Çürüklü, Branko Miloradovic, Mikael Ekström Global OCEANS 2020 (OCEANS)
A Genetic Algorithm Approach to Multi-Agent Mission Planning Problems (Jan 2020) Branko Miloradovic, Baran Çürüklü, Mikael Ekström, Alessandro Papadopoulos Communications in Computer and Information Science (CCIS)
TAMER: Task Allocation in Multi-robot Systems Through an Entity-Relationship Model (Nov 2019) Branko Miloradovic, Mirgita Frasheri , Baran Çürüklü, Mikael Ekström, Alessandro Papadopoulos The 22nd International Conference on Principles and Practice of Multi-Agent Systems (PRIMA'19)