TY - GEN
T1 - Let robots play soccer under more natural conditions
T2 - 11th RoboCup International Symposium, RoboCup 2007
AU - Wang, Qining
AU - Huang, Yan
AU - Xie, Guangming
AU - Wang, Long
PY - 2008
Y1 - 2008
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.
UR - http://www.scopus.com/inward/record.url?scp=50249178652&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-68847-1_35
DO - 10.1007/978-3-540-68847-1_35
M3 - Conference contribution
AN - SCOPUS:50249178652
SN - 3540688463
SN - 9783540688464
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 353
EP - 360
BT - RoboCup 2007
Y2 - 9 July 2007 through 10 July 2007
ER -