OS22-4 Strategy Analysis of RoboCup Soccer Teams Using Self-Organizing Map

Title:	OS22-4 Strategy Analysis of RoboCup Soccer Teams Using Self-Organizing Map
Publication:	ICAROB2017
Volume:	22
Pages:	421-424
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2017.OS22-4
Author(s):	Moeko Tominaga, Yasunori Takemura, Kazuo Ishii
Publication Date:	January 19, 2017
Keywords:	Strategy, Self-Organizing Map, team behavior, SOM
Abstract:	In the soccer games, the player's behavior changes depending on the game situation such as winning or losing, score gap, remaining time. The players act more offensive when their team is losing, or more defensive when their team is winning with minimum score difference. Currently most of robot teams keep the same strategy during the game so that the result of game depends on the ability of each player like speed of robot, quality of localization, obstacle avoidance and ball handling. Next issue for the robot intelligence is collaborated team behavior and strategy. The autonomous soccer robots are required to behave cooperatively and make decision using environment and game situation. In this research, the team strategy is analyzed based on parameters such as the positions of human player, time and actions using Self-Organizing Map (SOM).
PDF File:	https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS22/OS22-4.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/

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