Over the past few years, a number of successful humanoid platforms have been developed, including the Nao [1] and the DARwIn-OP [2], both of which are used by many research groups for the investigation of bipedal walking, fullbody motions, and human-robot interaction. The NimbRo-OP is an open humanoid platform under development by team NimbRo of the University of Bonn. Significantly larger than...

The paper analyses two datasets of elite soccer players (top 1000 professionals and UEFA Under-19 Youth League). In both, we find a Relative Age Effect (RAE) for frequency, but not for value. That is, while there are more players born at the start of the competition year, their transfer values are no higher, nor are they given more game time. We use Poisson regression to derive a transparent in...

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...

OBJECTIVES To determine if athletes with a self reported history of previous injury have a higher incident injury rate than athletes without a self reported injury history. METHODS A prospective cohort study of Classic League soccer players playing at the level under 12 through under 18. Injury history forms were mailed to all registering Classic League soccer players in the North Carolina Yo...

in 2d soccer simulation league, agents will decide based on information and data in their model. effective decisions need to have world model information without any noise and missing data; however, there are few solutions to omit noise in world model data; so we should find efficient ways to reduce the effect of noise when making decisions. in this article we evaluate some simple solutions whe...

The UT Austin Villa team, from the University of Texas at Austin, won the 2015 RoboCup 3D Simulation League, winning all 19 games that the team played. During the course of the competition the team scored 87 goals and conceded only 1. Additionally the team won the RoboCup 3D Simulation League technical challenge by winning each of a series of three league challenges: drop-in player, kick accura...

The UT Austin Villa team, from the University of Texas at Austin, won the 2017 RoboCup 3D Simulation League, winning all 23 games that the team played. During the course of the competition the team scored 171 goals without conceding any. Additionally, the team won the RoboCup 3D Simulation League technical challenge by winning each of a series of three league challenges: free, passing and scori...

Team BreDoBrothers participated in the Nao Standard Platform League (Nao SPL) of Robocup 2008 in Suzhou. 2008 being the first year that the Nao SPL was hold every team had the same starting position regarding to the new robot Nao, being the new two legged robot platform designed and produced by Aldebaran Robotics. Team BreDoBrothers was the best team after the preliminary rounds being the only ...