Action Selection Mechanism for Soccer Robot

Authors:
Heung-Soo Kim;Hyun-Sik Shim;Myung-Jin Jung;Jong-Hwan Kim
Affiliations:
-;-;-;-
Venue:
CIRA '97 Proceedings of the 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation
Year:
1997

Citing 0
Cited 4

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Autonomous Robots
A Fuzzy Mechanism for Action Selection of Soccer Robots

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Intelligent decision making in multi-agent robot soccer system through compounded artificial neural networks

Robotics and Autonomous Systems
A case-based approach for coordinated action selection in robot soccer

Artificial Intelligence

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Abstract

In this paper, an action selection mechanism (ASM) is proposed for each agent given its role in multi-agent system for robot soccer. Robot soccer game has very dynamic and uncertain characteristics. Furthermore, there exist competitions between agents. The soccer-playing robot should take an appropriate action according to its given role such as striker or sweeper. A computational mechanism for such action selection is essential in this regard. Initially, a relatively simple ASM is designed for a situation with no opponents. Then, the mechanism incorporates some additional action selection schemes considering the opponents' behaviors. Particularly, a multilayer perceptron (MLP) is used to learn how human being selects an action given a situation. The effectiveness of the proposed ASM is demonstrated through a real robot soccer game of S-MIROSOT (Single-robot Micro-Robot World Cup Soccer Tournament).