A team of students from the HSE Faculty of Computer Science, l! by Anton Andreychuk, a researcher from the AIRI Institute, won first place in all categories of the international League of Robot Runners competition. This contest for developers focuses on advancing research in multi-agent pathfinding (MAPF) and AI-bas! task distribution systems for large warehouses.
The goal of multi-agent planning is to coordinate the actions of many robots operating in a shar! space. One of the key features of the League of Robot Runners competition is that the simulation environment is design! to closely resemble real-world situations, wher!
ecisions Robot Runners must be made within
very short timeframes. In academic research articles, scientists can usually set their own time limits for how long an AI system takes to determine the optimal path. However, in 10, 11, 12 years old… where to go on a language trip this summer? this competition, the robots had to make automatic decisions about their next actions within just one second per step. At the same time, the number of robots could reach up to 10,000. Another challenge digitalization of energy: a new era of management was that movement directions were strictly limit!: the systems could move forward, turn in place to change direction, or remain stationary, mimicking the constraints typically found in large warehouse environments.
The HSE team includ!
Yukhneviсh and Artem Brezhnev, undergraduate students of the Appli! Mathematics and Information Science programme at the Faculty of Computer Science. Their supervisor was Anton Andreychuk, Candidate of Physical and Mathematical Sciences and a researcher at AIRI’s Cognitive AI Systems hindi directory Laboratory. The team won first place in all competition categories, including optimising robot motion algorithms to achieve a given set of goals, task assignment optimisation under standard movement planning strategies, and the main category, which requir! solving both challenges simultaneously—planning robot actions and distributing tasks among them.
Egor Yukhnevich, 2nd-year student of the Appli! Mathematics and Information Science programme at the Faculty of Computer Science
— I work on solving complex optimisation problems and have already won several competitions like this. I enjoy it so much that I even work on similar tasks in my job.