@inproceedings{35dca10525c5496dbdc31f4bd6b3b9a3,
title = "Let robots play soccer under more natural conditions: Experience-based collaborative localization in four-legged league",
abstract = "This paper presents an experience-based collaborative approach for a group of autonomous robots to localize in asymmetric, dynamic environments. To help robots play soccer under more natural conditions, we propose a Markov localization based hybrid method with integration of environment experience construction and dynamic reference object based multi-robot localization. By using this method, the robot can estimate and correct its position perception more accurately and effectively among a group of autonomous robots, taking the odometry error and other negative influence into consideration. Satisfactory results are obtained in the RoboCup Four-Legged League environment.",
author = "Qining Wang and Yan Huang and Guangming Xie and Long Wang",
year = "2008",
doi = "10.1007/978-3-540-68847-1\_35",
language = "英语",
isbn = "3540688463",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "353--360",
booktitle = "RoboCup 2007",
note = "11th RoboCup International Symposium, RoboCup 2007 ; Conference date: 09-07-2007 Through 10-07-2007",
}