In this paper we present the system architecture of the Eagle Knights/RoboBulls Small Size League RoboCup Team. In this league two teams composed of five autonomous robots each compete against each other in a medium size field. This league is one of the fastest and most thrilling in RoboCup permitting teams to develop complex coordination strategies. We explain the three main components of the ...

This paper describes the design and implementation of a new, simplified, entry-level RoboCup league and its integration into an introductory robotics and artificial intelligence curriculum. This E-League allows teams to focus on individual aspects such as hardware platform development or multi agent coordination, because the league provides modular solutions for several components and lets team...

Das Leitmotiv des Workshops lautet "mit Robotern lernen". Roboter bieten einen nicht abstrakten, taktilen Zugang zu wissenschaftlichen Bildungsinhalten. Es wird stark emotional und damit nachhaltig gelernt, die Rückkopplungsschleife zwischen Begreifen, Erfahren und Memorieren wird geschlossen. Kombiniert man diesen Grundgedanken mit einem Wettbewerb, dann ist international der ROBOCUP besonders...

In this article we present a hierarchical model for planning and coordinating firefighting in situations such as RoboCup Rescue, where an urban earthquake is simulated. We show that a hierarchical approach brings leverage to the planning process. By using formal decision theoretic models, we also present a more formal analysis of the RoboCup Rescue domain. Finally we discuss how our model could...

Multi-agent robotic competitions such as RoboCup provide the motivation for a developmental research agenda – one that focuses on the evolution of complete working systems and their cognitive architectures. In this paper, we describe the components and integration of one such system – the 2010 RoboCup Standard Platform League entry rUNSWift. The realtime control architecture employed consists o...

RoboCup is an initiative aimed at advancing Artificial Intelligence (AI) and robotics research. This paper first provides an overview of a robotic soccer competition hosted by RoboCup called the Small Size League. It then documents the design and implementation of an AI framework used by a team at the University of British Columbia which is aiming to compete in the Small Size League. Finally, i...

This paper describes the humanoid robot Toni that has been designed to play soccer in the RoboCup Humanoid League. The paper details Toni’s mechanical and electrical design, perception, self localization, behavior control, and infrastructure. Toni is fully autonomous, has a low weight (2.2kg), and is much taller (74cm) than most servo-driven humanoid robots. It has a wide field of view camera, ...

Simulators have a long tradition within RoboCup. In the Soccer Simulation League, one of the earliest leagues within RoboCup, traditionally single-purpose robot simulators with high levels of abstraction have been used. These systems proved valuable as tools for multiagent research, but were difficult to extend. Furthermore, there were concerns that research results would not be easily transfer...

One of the machine learning challenges posed by the robot soccer domain is to learn the opponents strategies. A team that may be able to do it efficiently may have the advantage to adapt its own strategy as a response to the opponent’s strategy. In this work, we propose a similarity function to compare two teams, and consequently their strategies, by the ability of one team to mimic the behavio...

Since 2014, we have made three releases of our full software stack for the RoboCup Logistics League (RCLL) based on the Open Source Fawkes Robot Software Framework. They include all software components of the team Carologistics which won RoboCup 2014, 2015, and 2016. The software is based on experience with participating in a number of leagues and the AllemaniACs RoboCup@Home team is an active ...