HELIOS2015 is a soccer simulation 2D team which has been participating in the RoboCup competition since 2000. We recently focus on the game analysis from kick records using a clustering method. This paper describes the overview of our approach for clustering game log files using Earth Mover’s Distance.

The annual RoboCup competitions are certainly relevant to present times as they elect the best team of the current year. With respect to RoboCup’s well-known 2050 vision, however, it is crucial to assess the general progress being made not just qualitatively, but also in a quantitative manner. Although this is difficult to accomplish in most leagues, the recent development and circumstances in ...

In order to create a cooperative architecture for multiagent systems in robotic soccer, it is necessary to model and understand the human soccer concepts to use and express them computationally. This work presents the main features for a multi-agent cooperative architecture based on human soccer concepts. The architecture can be applied to different categories of RoboCup. To test its performanc...

Since RoboCup 2004 we participate in both, the “classical” 2D-Simulation League as well as in the new 3D-competition. Last year, our team “AT Humboldt”, placed second at German Open while “AT Humboldt 3D” placed 8th at RoboCup World Championship in Osaka. For ten years we use our soccer agents as a research testbed for longterm deliberation and realtime reasoning, cooperation and coordination i...

RoboCup Keepaway, originated from the RoboCup soccer simulation 2D challenge, has been widely used as a machine learning benchmark. In this paper, we present a concurrent hierarchical reinforcement learning approach to RoboCup Keepaway. Following the idea of hierarchies of abstract machines (HAMs), we write a partial policy as a HAM from the perspective of a single keeper, run multiple instance...

Multi-agent collaboration or teamwork and learning are two critical research challenges in a large number of multi-agent applications. These research challenges are highlighted in RoboCup, an international project focused on robotic and synthetic soccer as a common testbed for research in multi-agent systems. This article describes our approach to address these challenges, based on a team of so...

Virtual RoboCup is a real-time 3D visualization tool for 2D simulated soccer games as played in the RoboCup simulation league. Players are modeled as anthropmorphic gures that are animated stepkeepingly with the underlying 2D simulation. Important aspects of player animation concern the generation of natural 3D player movements and realistic player-ball interactions during kicks. A key contribu...

Controlling autonomous, humanoid robots in a dynamic, continuous, and real-time environment is a complex task. We have used an Extended Kalman Filter to track the position and velocity of the soccer ball in the RoboCup 3D soccer simulation scenario. The influence of reducing the error in the ball estimate on a high-level behavior is then demonstrated using the keep-away behavior. We have applie...

There is a big difference between Simulation League and Middle Size League in RoboCup, that is, a program written for the former can not be easily transferred to the latter. Since the final aim is real robotics, in this paper we suggest a new match for RoboCup Soccer which can fill this gap. We designed and implemented a Modeled Robot Soccer Server most like Middle Size RoboCup that contains a ...