2015
DOI: 10.1007/978-3-319-18615-3_34
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AutoRef: Towards Real-Robot Soccer Complete Automated Refereeing

Abstract: Abstract. Preparing for robot soccer competitions by empirically evaluating different possible game strategies has been rather limited in leagues using real robots. Such limitation comes from factors related to the difficulty of extensively experimenting with games with real robots, such as their inevitable wear and tear and their usual limited number. RoboCup real robot teams have therefore developed simulation environments to enable experimentation. However, in order to run complete games in such simulation … Show more

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Cited by 2 publications
(2 citation statements)
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“…Separately from physical referee robots, different types of automated referee software have been developed in the SSL and MSL. The ssl-autonomous-refbox system was an early attempt in the SSL (62); later, Zhu et al (63) developed AutoRef for monitoring SSL games and detecting rule infringements using data from the global SSL-Vision system. In the MSL, Schoenmakers et al (64) from Tech United Eindhoven elaborated on the initial steps toward realizing an autonomous MSL referee.…”
Section: Software Platformsmentioning
confidence: 99%
“…Separately from physical referee robots, different types of automated referee software have been developed in the SSL and MSL. The ssl-autonomous-refbox system was an early attempt in the SSL (62); later, Zhu et al (63) developed AutoRef for monitoring SSL games and detecting rule infringements using data from the global SSL-Vision system. In the MSL, Schoenmakers et al (64) from Tech United Eindhoven elaborated on the initial steps toward realizing an autonomous MSL referee.…”
Section: Software Platformsmentioning
confidence: 99%
“…We complement our real-world results from RoboCup with experiments run on a PhysX-based simulator, with an automated referee (Zhu, Biswas, and Veloso 2015) that enabled extensive testing without human intervention. We test our novel SRC algorithm against two alternate highly competitive versions of our team described below.…”
Section: Simulation Validationmentioning
confidence: 99%