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	Let robots play soccer under more natural conditions: Experience-based collaborative localization in Four-Legged League
	Wang, Qining ; Huang, Yan ; Xie, Guangming ; Wang, Long
	2008
DOI	10.1007/978-3-540-68847-1_35
英文摘要	This paper presents an experience-based collaborative approach fir a group of autonomous robots to localize in asymmetric, dynamic environments, To help robots play soccer under snore 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 snore 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.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000258058000035&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; Robotics; EI; CPCI-S(ISTP); 1
语种	英语
内容类型	会议论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/316601]
专题	工学院
推荐引用方式 GB/T 7714	Wang, Qining,Huang, Yan,Xie, Guangming,et al. Let robots play soccer under more natural conditions: Experience-based collaborative localization in Four-Legged League[C]. 见:.

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