play (and win) soccer against the human soccer world champion in the year 2050? This question is not easy to answer, and the idea is quite visionary. However, this is the goal of the RoboCup Federation. There are serious research questions that have to be tackled behind the scenes of a soccer game: perception, decision making, action selection, hardware design, materials, energy, and more. Robo...

This paper deals with an intelligent control of an autonomous mobile robot, which can adapt to dynamical environments. RoboCup soccer robots are chosen as demonstration targets. An important issue in robotic soccer is how to respond to dynamical environment. This study presents an intelligent control method based on System-Life concept for the autonomous mobile robot system. In other words, it ...

AgentSpeak and its practical interpreter Jason represent an excellent framework for implementing complex, reasoning agents. This paper discusses an ongoing research dedicated to extending Jason with the support for soccer playing agents. The end goal is to design an efficient infrastructure, capable of deploying and running BDI agents in the RoboCup soccer simulation league. 1 Intelligent agent...

Robot soccer is a challenging research domain, which involves multiple agents (physical robots or ”softbots”) to work together in a dynamic, noisy, cooperative and adversarial environment to achieve specific objectives. The paper focuses on the design and implementation of an effective system for developing a small-size physical soccer team for the competition of RoboCup. There are three goals ...

In RoboCup-98, ULM-Sparrows team worked hard just to get both a simulation and a middle size robot team to work and to successfully participate in a major tournament. For this year, we were in a better position to start some more serious research work. Aside of improvements in the robot hardware and an extension of the vision processing capabilities, we implemented a more complete version of ou...

Besides the construction of the robots, the development of control software and tools for simulation and debugging are major topics of interest in the domain of soccer playing humanoid robots. In the RoboCup Four-Legged League, the whole research has—due to the existence of a standard platform—been focused on software development since many years. Therefore, a migration of successful software s...

Robotic soccer requires the ability of individually acting agents to cooperate. The simulation league of RoboCup therefore offers an ideal testbed for evaluating multiagent methods. In this paper we discuss how Reinforcement Learning (RL) methods can be succesfully applied within the scenario of learning to cooperatively score a goal. Due to the complexity of the task, enhanced methods of learn...

Self-localization is important in almost all robotic tasks. For playing an aesthetic and effective game of robotic soccer, self-localization is a necessary prerequisite. When we designed our robotic soccer team for RoboCup'98, it turned out that all existing approaches did not meet our requirements of being fast, accurate, and robust. For this reason, we developed a new method, which is present...

issues that involves very large numbers of heterogeneous agents in the hostile environment. The intention of the RoboCup Rescue project is to promote research and development in this socially significant domain at various levels, involving multiagent teamwork coordination, physical agents for search and rescue, information infrastructures, personal digital assistants, a standard simulator and d...

RoboCup was started in 1997 by a group of Artificial Intelligence and Robotics researchers with the following grand challenge, to be achieved by 2050 [9]: “to build a team of robot soccer players, which can beat a human World Cup champion team.” Since then, RoboCup Federation1 established itself as a structured organization and as one of the major events in the research field of Artificial Inte...