We review disruptive innovations introduced in the RoboCup 2D Soccer Simulation League over the twenty years since its inception, and trace the progress of our champion team (Gliders). We conjecture that the League has been developing as an ecosystem shaped by diverse approaches taken by participating teams, increasing in its overall complexity. A common feature is that different champion teams...

Many scenarios require that robots work together as a team in order to effectively accomplish their tasks. However, precoordinating these teams may not always be possible given the growing number of companies and research labs creating these robots. Therefore, it is desirable for robots to be able to reason about ad hoc teamwork and adapt to new teammates on the fly. Past research on ad hoc tea...

In this article, we provide an overview of three humanoid soccer platforms currently in use at RoboCup: 3D simulation, the humanoid Standard Platform League (SPL), and the Webots-based simulator released with the SPL. Although these platforms trace different historical roots, today they share the same robot model, the Aldebaran Nao. Consequently, they face a similar set of challenges, primary a...

This work introduces the new sub-league of the RoboCup Soccer Simulation League, called Physical Visualization. We show how the fundamental collaborative concepts of this new sub-league shift essential research issues from the playing agents themselves to the development of a new versatile research and educational platform. Additionally, we discuss benefits of this new platform in terms of stan...

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 eeorts for participating at RoboCup'99 are mainly concentrated on a multi-threaded implementation to simulat...

FC Portugal Rescue team is the result of a cooperation project between the Universities of Aveiro and Porto in Portugal. The project started in January 2004 following previous collaborations of these two Portuguese Universities in RoboCup simulation league and associated competitions: coach competition, simulation league presentation competition and simulation 3D competition. FC Portugal Rescue...

Opponent Modeling is one of the most attractive and practical arenas in Multi Agent System (MAS) for predicting and identifying the future behaviors of opponent. This paper introduces a novel approach using rule based expert system towards opponent modeling in RoboCup Soccer Coach Simulation. In this scene, an autonomous coach agent is able to identify the patterns of the opponent by analyzing ...

In RoboCup-98, 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 our so...

In WrightEagle2008, we continue to research based on the previous WrightEagle simulation 2D team. WrightEagle has won the runner-up of Robocup2007, the Champion of RoboCup2006, and the runner-up of RoboCup2005, as well as three consecutive championships of RoboCup China Open in recent years. In this paper, we present the innovations of our team since the last simulation league competitions, and...