The paper describes the scientiic goals of the virtual soccer team \AT Humboldt 98", which was vice champion in RoboCup 98 in Paris. It is the successor of the world champion \AT Humboldt" from RoboCup 97 in Nagoya. The adaptation of \AT Humboldt" to the new rules of the soccer server has started as \AT Humboldt 97" in Paris.

We describe our previous and current efforts towards achieving an unusual personal RoboCup goal: to train a full team of robots directly through demonstration, on the field of play at the RoboCup venue, how to collaboratively play soccer, and then use this trained team in the competition itself. Using our method, HiTAB, we can train teams of collaborative agents via demonstration to perform non...

WrightEagle 2D soccer simulation team has been participating in annual RoboCup competitions since 1999 and won 4 champions and 5 runners-up at RoboCup world championships in the past 9 years. In this paper, we briefly present our current research efforts and some newly introduced techniques since the last year competition.

This paper describes the Roobots small league RoboCup team from the University of Melbourne which competed in Robocup 2001, Seattle. The highlights from our team included an omnidirectional drive mechanism, an integrated dribbling and kicking mechanism, a robust vision system and communications system and a BDI agent oriented

The authors, as the local organizers of the RoboCup European Championship, present a brief, informal overview of this event, with the aim to archive the main results, but also as a report to support organizers of future RoboCup events in the organization and coordination of such a rather complex tournament. © 2001 Published by Elsevier Science B.V.

HELIOS2012 is a 2D soccer simulation team which has been participating in the RoboCup competition since 2000. This paper describes the overview and the current effort of HELIOS2012. We recently focus on an online tactics planning in a continuous state-action space. We applied a tree search method to the RoboCup soccer 2D simulation environment and analyzed its effectiveness by evaluating the te...

The paper describes the architecture and the scientific goals of the virtual soccer team “AT Humboldt 99”, which is the successor of vice champion “AT Humboldt 98” from RoboCup-98 in Paris and world champion “AT Humboldt 97” from RoboCup-97 in Nagoya. Scientific goals are the development of agent-oriented techniques and learning methods.

This paper describes MRESim, a multi-robot exploration simulator which aims to provide a middle ground between the RoboCup Agent and Virtual Robot competitions. A detailed description of this new infrastructure is provided, followed by examples and case studies of successful research outcomes arising from the use of MRESim. Our work on MRESim won the 2014 Infrastructure competition of the RoboC...

One of the most important tasks in the RoboCup soccer leagues is to build up soccer domain knowledge for decision-making. Therefore, most RoboCup teams adapt tactics graphs to develop their agents’ behavior manually. This is a very laborious and time-consuming

This paper describes a method to reduce the effects of the system immanent delay for the RoboCup small size league. It explains how we solved the task by predicting the movement of our robots using a neural network. We have successfully field-tested the system at several RoboCup competitions with our FU-Fighters team. The predictions improve speed and accuracy of play.