Let robots play soccer under more natural conditions: Experience-based collaborative localization in four-legged league

Qining Wang; Yan Huang; Guangming Xie; Long Wang

doi:10.1007/978-3-540-68847-1_35

Let robots play soccer under more natural conditions: Experience-based collaborative localization in four-legged league

Qining Wang^*, Yan Huang, Guangming Xie, Long Wang

^*Corresponding author for this work

Peking University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	RoboCup 2007
Subtitle of host publication	Robot Soccer World Cup XI
Pages	353-360
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-540-68847-1_35
Publication status	Published - 2008
Externally published	Yes
Event	11th RoboCup International Symposium, RoboCup 2007 - Atlanta, GA, United States Duration: 9 Jul 2007 → 10 Jul 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5001 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th RoboCup International Symposium, RoboCup 2007
Country/Territory	United States
City	Atlanta, GA
Period	9/07/07 → 10/07/07

Access to Document

10.1007/978-3-540-68847-1_35

Cite this

Wang, Q., Huang, Y., Xie, G., & Wang, L. (2008). Let robots play soccer under more natural conditions: Experience-based collaborative localization in four-legged league. In RoboCup 2007: Robot Soccer World Cup XI (pp. 353-360). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5001 LNAI). https://doi.org/10.1007/978-3-540-68847-1_35

@inproceedings{c7d066e6c0ca41bfbf0e369cf6794193,

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 = "English",

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",

}

Wang, Q, Huang, Y, Xie, G & Wang, L 2008, Let robots play soccer under more natural conditions: Experience-based collaborative localization in four-legged league. in RoboCup 2007: Robot Soccer World Cup XI. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5001 LNAI, pp. 353-360, 11th RoboCup International Symposium, RoboCup 2007, Atlanta, GA, United States, 9/07/07. https://doi.org/10.1007/978-3-540-68847-1_35

Let robots play soccer under more natural conditions: Experience-based collaborative localization in four-legged league. / Wang, Qining; Huang, Yan; Xie, Guangming et al.
RoboCup 2007: Robot Soccer World Cup XI. 2008. p. 353-360 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5001 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Huang, Yan

AU - Xie, Guangming

AU - Wang, Long

PY - 2008

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N2 - 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.

AB - 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.

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DO - 10.1007/978-3-540-68847-1_35

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SN - 9783540688464

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 360

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ER -

Wang Q, Huang Y, Xie G, Wang L. Let robots play soccer under more natural conditions: Experience-based collaborative localization in four-legged league. In RoboCup 2007: Robot Soccer World Cup XI. 2008. p. 353-360. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-68847-1_35

Let robots play soccer under more natural conditions: Experience-based collaborative localization in four-legged league

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