RoboCup competitions were first proposed by Mackworth in 1993. The main goal of this scientific competition is to exploit, improve and integrate the methods and techniques from robotics, machine vision and artificial intelligence (AI) disciplines to create an autonomous team of soccer playing robots. At the time of preparing this chapter, RoboCup is organized in several different leagues includ...

From 2008 on, the RoboCup competitions are going to host four distinct humanoid robot soccer leagues: the Standard Platform League (using the Nao robot of Aldebaran Robotics), the KidSize League (custom robots smaller than 60cm), the 3D Soccer Simulation League, and the TeenSize League (custom robots larger than 100cm). Currently, each of these leagues defines their own rule framework and resea...

The paper discusses a top-down approach to model soccer knowledge, as it can be found in soccer theory books. The goal is to model soccer strategies and tactics in a way that they are usable for multiple RoboCup soccer leagues, i.e. for different hardware platforms. We investigate if and how soccer theory can be formalized such that specification and execution is possible. The advantage is clea...

This article is to describe the Essex Wizards team attending the simulation league of RoboCup’99 in Stockholm. A long-term research goal of this team is to focus on cooperative behaviours, team roles and formations, sensor fusion and machine learning capabilities. Therefore, the initial efforts for participating at RoboCup’99 are mainly concentrated on a multithreaded implementation to simulate...

We propose a novel solution to bridge the gap between AI planning and Simulation 2D. The basic idea is to formulate the soccer problem as a DEC-POMDP and solve it using sample-based approaches. A middleware is introduced to communicate with the planner and the soccer server. The goal of this work is to further boost the research of AI planning using Simulation 2D as a standard testbed.

This paper describes the navigation system used for the UQ RoboRoos robot soccer team, runner up in the 1998 world RoboCup championships. The navigation system has been developed to cope with the dynamic environment of robot soccer. Two interacting levels of the system called the schema and cognitive levels respectively, have been used to solve two orthogonal problems in spatial navigation: lon...

The main interest behind the HHITimEr’s effort in the RoboCup soccer domain is to develop and to apply multi-agent system. In particular, we are interested in applying accurate methods for object localization and velocity estimation using particle filters, a layered skills hierarchy, a scoring policy for simulated soccer agents and an effective team strategy. This thesis describes the increment...

In this paper, we describe the GMD-Robots. These robots will be presented at the RoboCup 1999. RoboCup is the robot world cup soccer games and conferences. It offers the opportunity to examine a wide range of technologies in different research areas. RoboCup is a task for a team of multiple moving robots in a dynamic environment. In order for a robot team to actually perform a soccer game vario...

The RoboCup (robot world-cup soccer) effort, initiated to stimulate research in multi-agents and robotics, has blossomed into a significant effort of international proportions. RoboCup is simultaneously a fundamental research effort and a set of competitions for testing research ideas. At IJCAI’97, a broad research challenge was issued for the RoboCup synthetic agents, covering areas of multi-a...

RoboCup is an international robot soccer competition that has been running since 1997. A frequent criticism of any such competition is that all of a team’s development is narrowly focussed on a very specific task and consequently, little contribution is made to science. In this paper, we describe our involvement in the RoboCup four-legged robot league and show how the competition has, indeed, r...