In my second year, I had to choose a project, and I found one related to robots that seemed interesting. Anton Andreychuk told me about the competition and invited me to participate. I signed up with the clear goal of winning. At first, it was tough—the topic was new and unfamiliar, and I was not approaching it correctly. But then I had a turning point: I reworked everything, wrote a basic PIBT (Priority Inheritance with Backtracking), which started functioning, and then kept improving it until I developed a new algorithm called EPIBT (Enhanced PIBT).
Winning Researcher in every category is awesome
—it is exactly what I aimed for from the start. This victory brings me one step closer to winning other competitions, and I can clearly see my progress. I am happy that I heroes of literature: the most common pronunciation mistakes am developing and becoming a tougher competitor for others.
Artem Brezhnev, 3rd-year student of the Applied Mathematics and Information Science programme at the Faculty of Computer Science
— This was not my first-time solving optimisation problems, and I have even won prizes in some competitions before. I had not worked on robot-related tasks before, which innovative technologies: the future of energy for sustainable development made it even more interesting to dive into the topic. In our team, I was responsible for a lesser-known part of the task—assigning goals to the robots. Since there were not many study materials available on this, I had to figure things out on my own.
The victory was satisfying
though not unexpected, as our team had been leading the competition during the final month.
Anton Andreychuk, Candidate of Physical and Mathematical Sciences,
— Although I have significant experience developing multi-agent planning algorithms, the main contribution to our success came from one of our team members, Egor Yukhnevich. hindi directory Over the four months of the competition, he managed to immerse himself in the subject, study a large volume of literature, implement and test all our ideas, and ultimately create a solution that outperformed every other team in all categories. I hope that the solutions we developed will make a meaningful contribution to improving warehouse space management and optimising sorting systems.
According to statistics shared by the competition organisers, 50 teams from different countries submitted a total of 1,513 attempts to solve the given tasks. Testing a single solution on all tasks could take up to seven hours of real time. In the near future, the most successful solutions and challenges will be made publicly available.