The RoboCup Rescue Simulation system provides a rich environment for developing novel techniques for multi-agent systems. The simulation provides a city map modeled as buildings and roads with civilians amongst them. A disaster scenario is simulated causing buildings to catch fire, roads to get blocked, and civilians to get injured and/or buried. The main goal is to use the available emergency ...

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...

The RoboCup soccer simulation 2D domain is a very large testbed for the research of planning and machine learning. It has competed in the annual world championship tournaments in the past 15 years. However it is still unclear that whether more principled techniques such as decision-theoretic planning take an important role in the success for a RoboCup 2D team. In this paper, we present a novel ...

We describe here the project of the humanoid challenge that is part of the RoboCup robot soccer competitions. We focus on how the relevant research issues of humanoid robotics –for example biped walking and human-like sensors and actuators– can be addressed and we investigate how the teams proceed to solve the given tasks. Thus, new technologies like artificial muscles and artificial skin might...

The Team of Bielefeld (ToBI) has been founded in 2009. The RoboCup activities are embedded in a long-term research history towards human-robot interaction with laypersons in regular home environments. The RoboCup@Home competition is an important benchmark and milestone for this goal in terms of robot capabilities as well as the system engineering approach. For RoboCup 2014, we mainly improved a...

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 2D Simulation League incorporates several challenging features, setting a benchmark for Artificial Intelligence (AI). In this paper we describe some of the ideas and tools around the development of our team, Gliders2012. In our description, we focus on the evaluation function as one of our central mechanisms for action selection. We also point to a new framework for watching log fil...

The RoboCup@Home league is a benchmark for domestic service robot systems. It evaluates approaches to mobile manipulation and human-robot interaction by testing integrated systems. In this article, we detail the contributions of our team NimbRo, with which we won the RoboCup@Home competition in 2011. We demonstrated novel capabilities in the league such as real-time tabletop segmentation, flexi...

RoboCup is an international initiative to foster interdisciplinary research and education in robotics, artificial intelligence, computer science, and engineering. We focus on the challenges of multi-robot systems, where robots cooperate with each other and when needed with humans to achieve goals in complex and uncertain environments, such as robot soccer, as RoboCupSoccer, robot rescue, as Rob...

To put more emphasis on real-world problems, the authors propose to extend the RoboCup competitions. In order to foster progress in the desired abilities the authors propose to expand the existing challenges by a set of simple tests. The passing of the entire set should lead to robots that are capable of working both autonomously and in cooperation with humans in different realistic scenarios. ...