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» The Winning Advantage: Using Opponent Models in Robot Soccer
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MLMTA
2003
13 years 6 months ago
Using a Two-Layered Case-Based Reasoning for Prediction in Soccer Coach
Abstract— The prediction of the future states in MultiAgent Systems has been a challenging problem since the begining of MAS. Robotic soccer is a MAS environment in which the pre...
Mazda Ahmadi, Abolfazl Keighobadi Lamjiri, Mayssam...
ROBOCUP
2004
Springer
133views Robotics» more  ROBOCUP 2004»
13 years 10 months ago
Towards a League-Independent Qualitative Soccer Theory for RoboCup
The paper discusses a top-down approach to model soccer knowledge, as it can be found in soccer theory books. The goal is to model soccer strategies and tactics in a way that they ...
Frank Dylla, Alexander Ferrein, Gerhard Lakemeyer,...
AI
1999
Springer
13 years 4 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
ROBOCUP
2009
Springer
128views Robotics» more  ROBOCUP 2009»
13 years 11 months ago
Sensor and Information Fusion Applied to a Robotic Soccer Team
This paper is focused on the sensor and information fusion techniques used by a robotic soccer team. Due to the fact that the sensor information is affected by noise, and taking in...
João Silva, Nuno Lau, João Rodrigues...
ICMENS
2003
IEEE
153views Hardware» more  ICMENS 2003»
13 years 10 months ago
Biologically Inspired Intelligent Robots Using Artificial Muscles
Humans throughout history have always sought to mimic the appearance, mobility, functionality, intelligent operation, and thinking process of biological creatures. This field of b...
Yoseph Bar-Cohen