On September 15, 2020, the supervisors of national teams of the international project "Information System of Emergency Situations Management in the areas of Floods and Landslides with Assistance of Distributed Heterogeneous Group of Robots" held a four-hour online meeting. The topic of the meeting was related to discussion the progress of research work of all national teams and the current interim results of the project.

Russia, Japan and Thailand are participating in the project. A Head of the Laboratory of intelligent robotic systems (LIRS) professor Evgeni Magid is a supervisor of the Russian team. During the meeting on the Russian team's part a senior lecturer of the Higher Institute of Information Technologies and Intelligent Systems (ITIS) KFU Roman Lavrenov and assistants Aufar Zakiev and Ramil Safin made presentations on three areas of research. There were also reports from professors and associate professors, who lead research subgroups within foreign teams: five managers from the Japanese team and three from the Thai team. Additionally, the meeting resulted in the approval of special joint sections on search and rescue robotics within the framework of three international conferences: Developments in eSystems Engineering 2020 (DeSE 2020), IEEE Siberian Conference on Control and Communications (SIBCON 2021) and International Symposium on Swarm Behavior and Bio-Inspired Robotics 2021 and International Symposium on Distributed Autonomous Robotic Systems 2021 (DARS/Swarm 2021). Joint online meetings of team leaders will be held monthly to coordinate research and improve the effectiveness of collaboration.

The project will develop and test an uncommon prototype of a unique robotic information system for managing the process of disaster management. International teams will develop a new work platform and new strategies for managing the collaborative behavior of heterogeneous robots in the tasks of collecting information, monitoring and mapping large-scale disaster zones, including land, underwater and air areas prone to natural disasters, in particular floods and landslides caused by heavy rains. New management strategies, new interfaces and new protocols for interaction and data exchange between heterogeneous robots will be tested in simulations and verified in field experiments.