Soccer was the original motivation for Robocup. Besides being a very popular sport worldwide, soccer brings up a set of challenges for researchers while attracting people to the event, promoting robotics among students, researchers and general public. RoboCup chose to use soccer game as a central topic of research, aiming at innovations to be applied for socially significant problems and indust...

Teamwork is becoming increasingly important in a large number of multiagent applications. With the growing importance of teamwork, there is now an increasing need for tools for analysis and evaluation of such teams. We are developing automated techniques for analyzing agent teams. In this paper we present ISAAC, an automated assistant that uses these techniques to perform post-hoc analysis of R...

Un método simple para la toma de decisiones en ambientes 3D de simulación de fútbol RoboCup Abstract—In th is p ap er n ew hier ar ch ical hybr id fuzzy­cr isp methods for decision making and action selection of an agent in soccer simulation 3D environment are presented. First, the skills of an agent are introduced, imp lemented and classified in two layers, the basic­skills and the high­level ...

The RoboCup competition aims at advancing AI and robotics via a series of robotic competitions, involving soccer, rescue and other competitive scenarios, carried out in various leagues featuring different types of (often autonomous) robots. Poised between theoretical AI research, engineering, useful applications and providing a universal benchmark, in RoboCup 2009 one could witness again increa...

The RoboCup simulated soccer league is a dynamic, complex and uncertain environment which presents many challenges to machine learning techniques. The asynchronous design of the RoboCup simulation environment can create long and unpredictable delays in the effects of actions, often causing onerous training times. A new environment known as Simple Soccer is proposed which, while retaining much o...

This paper presents a dynamic role assignment and formation positioning system used by the 2011 RoboCup 3D simulation league champion UT Austin Villa. This positioning system was a key component in allowing the team to win all 24 games it played at the competition during which the team scored 136 goals and conceded none. The positioning system was designed to allow for decentralized coordinatio...

We report a cognitive modeling experiment where the RoboCup simulation environment was used to study the advantages provided by signals. We used the passing problem in RoboCup as our test problem and soccerplayers' 'yells' of their 'passability' values as the task-specific signals. We found that yells improve pass completion – using yells to decide the best player (to pass the ball) led to a 8-...

In 2008, UT Austin Villa entered a team in the first Nao competition of the Standard Platform League of the RoboCup competition. The team had previous experience in RoboCup in the Aibo leagues. Using this past experience, the team developed an entirely new codebase for the Nao. Development took place from December 2007 until the competition in July of 2008. This technical report describes the a...

“Infographics” is a very new RoboCup Soccer Simulation League 2D team, based on the released source code of agent2d [1] and Gliders [2,3]. It also uses librcsc (a base library for The RoboCup Soccer Simulator, RCSS [4]); soccerwindow2: a viewer program for RCSS; fedit2: a formation editor for agent2d; and GIBBS: in-browser log-player for 2D Simulation League logs [5]. The Soccer Simulation 2D L...

Since 2001 the School of Information Technology and Electrical Engineering (ITEE) at the University of Queensland has been involved in RoboCup Junior activities aimed at providing children with the Robot building and programming knowledge they need to succeed in RoboCup Junior competitions. These activities include robotics workshops, the organization of the State-wide RoboCup Junior competitio...