In May 2023, a short-term visit occurred, involving the University of Sarajevo's Faculty of Electrical Engineering (UNISA-ETF) and the Multi-Robot Systems Group at the Czech Technical University (CTU), as well as Fly4Future (F4F). The purpose of this visit was to facilitate collaboration and knowledge exchange in the field of multi-agent systems.
The guest staff member, Mehmed Brkic, a PhD student from UNISA-ETF, visited from May 15 to May 26, 2023, with the main goal of establishing connections with researchers from the MRS group and Fly4Future and initiating knowledge sharing.
The visit aimed to achieve several expected results, primarily focusing on understanding and learning how to conduct experimental work within the experimental environment and setup of MRS and Fly4Future. Key individuals involved in this visit included Professor Martin Saska, post-doc researcher Robert Penička, and PhD student Frantisek Nekovar from CTU & F4F, and PhD student Mehmed Brkic and Professor Adnan Tahirovic from UNISA-ETF.
Mehmed Brkic's research topic at UNISA-ETF centered on multi-agent coverage path planning, with previous results based solely on theoretical simulations. The visit provided the opportunity to validate these theoretical findings experimentally with the support of CTU and F4F. Additionally, it allowed for a comparison of the developed path planning approach with state-of-the-art algorithms within CTU's Multi-Robot System Group, led by Professor Martin Saska.
Activities during the visit included knowledge exchange in multi-agent systems, understanding CTU's experimental setup, learning procedures for experimental implementation, and gaining insights into algorithms for multi-agent path planning. It also aimed to establish initial contacts and strengthen collaboration between UNISA-ETF and CTU and F4F laboratories.
The visit began with a working meeting organized by Professor Martin Saska, who defined tasks and an agenda for Mehmed Brkic. The initial days involved tasks such as knowledge transfer for UAV-based experimental setups, equipment observation, understanding UAV sensors (e.g., thermal cameras and lidar sensors), and grasping the procedures required for experiments. In the latter part of the visit, activities included comprehending the MRS UAV System software environment, implementing and demonstrating algorithms in the Gazebo simulator, preparing simulation results for experiments, and studying multi-agent path planning algorithms developed at CTU.