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Comparison of Localization Methods for a Robot Soccer Team
2006
International Journal of Advanced Robotic Systems
In this work, several localization algorithms that are designed and implemented for Cerberus'05 Robot Soccer Team are analyzed and compared. These algorithms are used for global localization of autonomous mobile agents in the robotic soccer domain, to overcome the uncertainty in the sensors, environment and the motion model. The algorithms are Reverse Monte Carlo Localization (R-MCL), Simple Localization (S-Loc) and Sensor Resetting Localization (SRL). R-MCL is a hybrid method based on both
doi:10.5772/5727
fatcat:5b6njptxcfeazk2pqydfskboqy