Paper Info
Title
A tactics for robot soccer with fuzzy logic mediator
Abstract
This paper presents a tactics using fuzzy logic mediator that selects proper robot action depending on the positions and the roles of adjacent two robots. Conventional Q-learning algorithm, where the number of states increases exponentially with the number of robots, is not suitable for a robot soccer system, because it needs so much calculation that processing cannot be accomplished in real time. A modular Q-learning algorithm reduces a number of states by partitioning the concerned area, where mediator algorithm for cooperation of robots is used additionally. The proposed scheme not only reduces a number of a calculation but also combines a robot action selection with robot cooperation by means of fuzzy logic system.
Year
DOI
Venue
2005
10.1007/11596448_18
CIS (1)
Keywords
Field
DocType
robot cooperation,robot action selection,fuzzy logic mediator,conventional q-learning algorithm,states increases exponentially,fuzzy logic system,mediator algorithm,robot soccer system,proper robot action,modular q-learning algorithm,action selection,fuzzy logic,real time
Motion planning,Robot control,Computer science,Fuzzy logic,Artificial intelligence,Fuzzy control system,Robot,Action selection,Robotics,Fuzzy rule
Conference
Volume
ISSN
ISBN
3801
0302-9743
3-540-30818-0
Citations 
PageRank 
References 
3
0.40
3
Authors
5
Name
Order
Citations
PageRank
Jeongjun Lee130.40
Dongmin Ji230.40
Wonchang Lee371.60
Geuntaek Kang471.26
Moon G. Joo5612.83