DocumentCode :
2027517
Title :
Probabilistic kick selection in robot soccer
Author :
Dodds, Ricardo ; Vallejos, Paul A. ; Ruiz-del-Solar, Javier
Author_Institution :
Electr. Eng. Dept., Chile Univ., Santiago
fYear :
2006
fDate :
26-27 Oct. 2006
Firstpage :
137
Lastpage :
140
Abstract :
Kick selection is an important issue in robot soccer that has not been investigated deeply enough by the RoboCup research community. This paper proposes a probabilistic approach to kick selection, which includes kick objective selection based on priorities. The proposed selection methodology is based on the maximization of the probability of success of the kick (the ball reaches the objective position). Experimental results of the proposed methodology show a high kick success rate, and give evidence of achieving accurate objectives even when using a set of imprecise kicks
Keywords :
legged locomotion; motion control; multi-robot systems; optimisation; position control; probability; RoboCup research community; probabilistic kick selection; robot soccer; Artificial intelligence; Intelligent robots; Legged locomotion; Machine vision; Mobile robots; Probability; Robot control; Robot sensing systems; Robot vision systems; Statistics; kick selection; passing; robot soccer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics Symposium, 2006. LARS '06. IEEE 3rd Latin American
Conference_Location :
Santiago
Print_ISBN :
1-4244-0537-8
Electronic_ISBN :
1-4244-0537-8
Type :
conf
DOI :
10.1109/LARS.2006.334337
Filename :
4133839
Link To Document :
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