📄 Title: Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023
✍️ Authors: Aref Sayareh, Nader Zare, Omid Amini, Arad Firouzkouhi, Mahtab Sarvmaili, Stan Matwin, and Amilcar Soares
📜 Abstract: The RoboCup competitions hold various leagues, and the Soccer Simulation 2D League is a major one among them. Soccer Simulation 2D (SS2D) match involves two teams, including 11 players and a coach, competing against each other. The players can only communicate with the Soccer Simulation Server during the game. This paper presents the latest research of the CYRUS soccer simulation 2D team, the champion of RoboCup 2021. We will explain our denoising idea powered by long short-term memory networks (LSTM) and deep neural networks (DNN). The CYRUS team uses the CYRUS2D base code that was developed based on the Helios and Gliders bases.
📜 Abstract: The RoboCup competition is an international platform where teams compete in various robotic challenges with the ultimate goal of developing autonomous robots that can play soccer against each other. The Soccer Simulation 2D game is one of the challenges in which teams develop algorithms to control virtual soccer players in a two-dimensional simulated environment. In this paper, we present our team’s work in developing advanced algorithms for marking, blocking, shooting, dribbling, and other soccer-related behaviors. Our algorithms are designed to work collaboratively to create effective team strategies and tactics for winning matches in the Soccer Simulation 2D game. Through rigorous testing and experimentation, we have optimized our algorithms to improve our team’s performance and increase our chances of success in the competition. Our research in this field has the potential to contribute to the advancement of autonomous robotic systems and the development of intelligent machines capable of performing complex tasks.
📄 Title: EMPEROR Soccer Simulation 2D Team Description Paper 2023
✍️ Authors: Erfan Fathi , and Soroush Mazloum
📜 Abstract: This Team Description Paper introduces the overview of recent works done in EMPEROR team. Recently we have been working on several effective algorithms for optimizing different actions. Some of these actions which are presented more later are through pass which is important for better team performance, defending strategy that has the most effect on the result of a game and decision making that chooses the best action for the situation.
📜 Abstract: The main focus of FRA-UNIted’s effort in the RoboCup soccer simulation 2D domain is to develop and to apply machine learning techniques in complex domains. In particular, we are interested in applying reinforcement learning methods, where the training signal is only given in terms of success or failure. In this paper, we review some of our recent efforts taken during the past year, putting a special focus on reinforcement learning experiments in the context of 2D soccer simulation.
📄 Title: Hades2D soccer2D simulation Team Description paper
✍️ Authors: Elina Mokhtari , Sarina Rouhani , Parnian Zargarnia , Seyedeh Raha Rokni
📜 Abstract: Soccer Simulation 2D League is one of the oldest leagues of Robocup competitions. In this league the soccer game is being sampled and simulated, and there are two teams playing toward each other. This paper contains descriptions of the activities of the Hades2D team through 2022, 2023 year. This year, we tried to use our own ideas to better increase the clarity of pass by dividing the goal and shootability and kicking. We also have improved formation.
📜 Abstract: This team description paper presents an overview of previous work and recent research topics of Team HELIOS2023. We have been attempting to construct a method that facilitates the construction of tactical decisions that reflect the intentions of the team designers, intending to operate a variety of tactics flexibly. This paper outlines one of our recent efforts that use learning to rank to make tactical decisions about ball chasing behavior.
📄 Title: Hermes2D Soccer2D simulation Team Description Paper
✍️ Authors: Sana Abedi , Tara Aghaei , Fatemeh Ghasemi , Parinaz Rastegar , Fatemeh Maleki , Parima Tghados , Nazanin Sarlak and Rozhina Pourmoghaddam
📜 Abstract: This article contains descriptions of Hermes2D activities. This year our team tried to increase the accuracy of defense strategies. We used some figures to describe the strategy. The introduction of the team and the duration of our work are explained in the article. To sum up things, the work we have done will be explained in the conclusion.
📄 Title: ITAndroids 2D Soccer Simulation Team Description Paper 2023
✍️ Authors: Davi M. Vasconcelos, Nean Segura, and Marcos R. O. A. Maximo
📜 Abstract: The ITAndroids 2D Soccer Simulation team is composed by undergraduate students of the Aeronautics Institute of Technology. The team is currently one of the strongest teams in Brazil, having won first place 4 times consecutively from 2012 to 2015, Vice Champion in 2018 and was the Champion of the 2019 Latin American Competition. Moreover, the team has qualified for the last ten editions of RoboCup, having participated in nine. This paper describes some of our advances in 2022 and our plans for 2023.
✍️ Authors: Sebastian Marian, Dorin Luca, Radu Sacuiu, Bogdan Sarac, Ovidiu Cotarlea
📜 Abstract: Oxsy team has been founded in July 2002 as a graduation project of one student, Sebastian Marian, in the field of Multi-Agent Systems [1], at the Department of Computer Science of Lucian Blaga University (Sibiu - Romania). After graduation he continued the work on this project and eventually Oxsy team was born. As we started from scratch [6], our ideas, concepts and beliefs, have been implemented year by year, and today, we are happy to see our evolution, as our team was growing in these years, more than we expected from the beginning. If we will qualify for this year competition, we will reach at the 19h consecutive participation, in RoboCup [4] Soccer Simulation League.
📜 Abstract: This paper contains some explanations about the algorithms implemented by R3CESBU team members. We will study algorithms used for the goalie, blocking, shooting, and marking. The base code used by R3CESBU is agent-2d. This year, the team will participate in its first competition in the 2D soccer simulation RoboCup 2023 league.
📄 Title: Robo2D Soccer Simulation Team Description Paper
✍️ Authors: Matin Nouri, Alireza Hasankhani
📜 Abstract: This article contains descriptions of the activities of the Robo2D soccer 2D simulation team. This year, our team tried to increase the accuracy of both defense and offense, decision, managing and etc. strategies. So, we developed our ideas by designing and developing algorithms. Here are some of these algorithms and solutions.
✍️ Authors: Cristiano Santos de Oliveira, Mateus Gon¸calves Machado, Walber de Macedo Rodrigues, Thiago da Silva Ara´ujo, Pedro Vitor Cunha, Rafael dos Reis de Labio, Felipe Nunes de Almeida Pereira, Mateus Ferreira Borges Soares, Gabriel Lopes de Souza, Maria Lu´ısa dos Santos Silva, Edna Natividade da Silva Barros, Paulo Salgado Gomes de Mattos Neto, and Tsang Ing Ren
📜 Abstract: RobˆoCIn Soccer Simulation 2D team, based at the Universidade Federal de Pernambuco, was founded in 2018. In our debut competition at the Latin American Robotics Competition (LARC) in Jo˜ ao Pessoa, Para´ıba, Brazil, we secured fourth place against other Latin American teams. The following year, we competed in the RoboCup for the first time and achieved a ninth-place finish. Also, we had won second place in the Brazil RoboCup Open 2019 (LARC). In 2020, we obtained third place in the Brazil RoboCup Open 2020 (LARC). In 2021, we placed seventh at the RoboCup, and were champions at LARC for the first time. In 2022, we achieved the tenth position at RoboCup and became two-time champions of LARC.
📄 Title: The8 Soccer 2D Simulation Team Description Paper 2023
✍️ Authors: Morteza Noohpisheh, Maryam Shekarriz, Reza Nematollahi, Fatemeh Ghasemi, Mohammadhassan Mohammadi, Negar Amiri, and Sahar Amiri
📜 Abstract: This paper includes some explanations about algorithms implemented by The 8 team members. We will introduce algorithms that are used for pass, shoot, dribbling and marking, and in particular with the ranking algorithm for the states of chain action. The base code used by The 8 is agent-2d 3.1.1.
📜 Abstract: This team description paper introduces YuShan2023's team optimization directions and methods over the past year. The passing module is one of the important modules of the team, and an effective passing strategy will improve the overall strength of the team. Since the parameters of the passing module are too complicated and the data distribution is too heterogeneous, in order to be able to classify the passing data effectively, we propose a method based on kernel density negative example learning, which improves the classification effect of different kinds of passing feature data by parsing the game log files. Based on the classification results, the key areas of the offense are extracted to realize the optimization of the decision logic of the team's passing strategy, and certain improvements are achieved in tests with several teams.