DocumentCode :
1865185
Title :
Decision making model based on state assessment and hierarchical FSM in robot soccer
Author :
Yunfeng Lou ; Bin Chen ; Haobin Shi
Author_Institution :
School of Computer, Northwestern Polytechnical University, NPU, Xi´an 710129, China
fYear :
2012
fDate :
3-5 March 2012
Firstpage :
756
Lastpage :
759
Abstract :
In order to improve validity and pertinence of strategies in robot soccer, this paper put forward a finite state automatons hierarchical decision model based on match state estimations. This model synthesizes and quantitates the information of state estimations and feedback of performing effects, establishes tactics conversion relationship based on finite state automatons, accordingly makes a tactic suiting current states. The simulations indicate that the decision model in this paper improves validity and pertinence of tactics to a great extent, enabling that whole abilities of attacking and defending for the soccer team attain corresponding melioration.
Keywords :
Decision-making; FSM; Robot soccer; Simulation; State assessment;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
Type :
conf
DOI :
10.1049/cp.2012.1087
Filename :
6492694
Link To Document :
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