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EAAI
2006
78views more  EAAI 2006»
13 years 6 months ago
Roboskeleton: An architecture for coordinating robot soccer agents
SkeletonAgent is an agent framework whose main feature is to integrate different artificial intelligent skills, like planning or learning, to obtain new behaviours in a multi-agen...
David Camacho, Fernando Fernández, Miguel A...
ICRA
2008
IEEE
188views Robotics» more  ICRA 2008»
14 years 21 days ago
CMDragons: Dynamic passing and strategy on a champion robot soccer team
— After several years of developing multiple RoboCup small-size robot soccer teams, our CMDragons robot team achieved a highly successful level of performance, winning both the 2...
James Bruce, Stefan Zickler, Mmichael Licitra, Man...
ROBOCUP
1999
Springer
101views Robotics» more  ROBOCUP 1999»
13 years 10 months ago
Design and Construction of a Soccer Player Robot ARVAND
Arvand is a robot specially designed and constructed for playing soccer according to RoboCup rules and regulations for the medium size robots. This robot consists of three main par...
Mansour Jamzad, Amirali Foroughnassiraei, Ehsan Ch...
ICIAP
2005
ACM
14 years 6 months ago
Improving SIFT-Based Object Recognition for Robot Applications
In this article we proposed an improved SIFT-based object recognition methodology for robot applications. This methodology is employed for implementing a robot-head detection syste...
Patricio Loncomilla, Javier Ruiz-del-Solar
IDEAL
2009
Springer
13 years 11 months ago
The Winning Advantage: Using Opponent Models in Robot Soccer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
José Antonio Iglesias, Juan Antonio Fern&aa...