Effective team strategies and joint decision-making processes are fundamental in modern
robotic applications, where multiple units have to cooperate to achieve a common goal. The …

This work introduces a novel approach for solving reinforcement learning problems in multi-
agent settings. We propose a state reformulation of multi-agent problems in R2 that allows …

Robotic soccer games, which have become popular, require timely and precise
decisionmaking in a dynamic environment. To address the problems of complexity in a …

A comparison between two machine learning approaches viz., Genetic Fuzzy Methodology
and Q-learning, is presented in this paper. The approaches are used to model controllers for …

Achieving effective task performance on real mobile robots is a great challenge when hand-
coding algorithms, both due to the amount of effort involved and manually tuned parameters …

Abstract ZJUNlict became the Small Size League Champion of RoboCup 2019 with 6
victories and 1 tie for their 7 games. The overwhelming ability of ball-handling and passing …

Autonomous mobile robots are often videotaped during operation, whether for later
evaluation by their developers or for demonstration of the robots to others. Watching such …

For the Small Size League of RoboCup 2018, Team ZJUNLict has won the champion and
therefore, this paper thoroughly described the devotion which ZJUNLict has devoted and the …

Abstract The CMDragons Small Size League (SSL) team won all of its 6 games at RoboCup
2015, scoring a total of 48 goals and conceding 0. This paper presents the core coordination …

The B-Human team won all of its seven games at the RoboCup 2022 competition in the
Standard Platform League (SPL), scoring a total of 48 goals and conceding 0. B-Human …