The Standard Platform League is one of the main competitions of the annual RoboCup world championships. In this competition, teams of five humanoid robots play soccer against each other. In 2014, the league added a new sub-competition which serves as a testbed for cooperation without pre-coordination: the Drop-in Player Competition. Instead of homogeneous robot teams that are each programmed by the same people and hence implicitly pre-coordinated, this competition features ad hoc teams, ie teams that consist of robots originating from different RoboCup teams and that are each running different software. In this paper, we provide an overview of this competition, including its motivation and rules. We then present and analyze the results of the 2014 competition, which gathered robots from 23 teams, involved at least 50 human participants, and consisted of fifteen 20-minute games for a total playing time of 300 minutes. We also suggest improvements for future iterations, many of which will be evaluated at RoboCup 2015.

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In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-15), Hamburg, Germany, September 2015.

@inproceedings{IROS15-katie, title={Benchmarking Robot Cooperation without Pre-Coordination in the RoboCup Standard Platform League Drop-In Player Competition}, author={Katie Genter and Tim Laue and Peter Stone}, booktitle={Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-15)}, month={September}, address={Hamburg, Germany}, url="http://www.cs.utexas.edu/users/ai-lab?genter:iros15", year={2015} }