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Chapter and Conference Paper
Classifying the Strategies of an Opponent Team Based on a Sequence of Actions in the RoboCup SSL
In this paper, we propose a new method for classifying the strategies of an opponent in the RoboCup Soccer Small-Size League. Each strategy generates a sequence of basic actions selected from a kick action, a ...
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Chapter and Conference Paper
A Method to Estimate Ball’s State of Spin by Image Processing for Improving Strategies in the RoboCup Small-Size-Robot League
This paper addresses an estimation problem of the ball’s state of spin in RoboCup Small Size League (SSL). A spinning ball varies its speed after the ball bounces off the floor. This paper proposes an image-ba...
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Chapter and Conference Paper
Analyzing and Learning an Opponent’s Strategies in the RoboCup Small Size League
This paper proposes a dissimilarity function that is useful for analyzing and learning the opponent’s strategies implemented in a RoboCup Soccer game. The dissimilarity function presented here identifies the d...
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Chapter and Conference Paper
Robust Algorithm for Safety Region Computation and Its Application to Defense Strategy for RoboCup SSL
We have proposed a new concept of “safety region” which we use to measure the position of the defense robots[5]. It is defined as a region that the teammate robot(s) can defend the goal when an opponent robot ...
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Chapter and Conference Paper
SSL-Humanoid
We propose a new RoboCup league called “SSL-Humanoid”. In the SSL-Humanoid league, the global vision system used in the RoboCup soccer Small Size Robot League (SSL) is also employed, and two teams of up to fiv...
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Book and Conference Proceedings
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Chapter and Conference Paper
An Approximate Computation of the Dominant Region Diagram for the Real-Time Analysis of Group Behaviors
This paper describes a method for a real-time calculation of a dominant region diagram (simply, a dominant region). The dominant region is proposed to analyze the features of group behaviors. It draws spheres ...
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Chapter and Conference Paper
Detection of Basic Behaviors in Logged Data in RoboCup Small Size League
This paper describes a method that extracts the basic behaviors of robots such as kicking and passing from the history data of the positions and velocities of the robots and the ball in RoboCup Small Size Leag...
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Chapter and Conference Paper
Strategic Layout of Multi-cameras Based on a Minimum Risk Criterion
This paper proposes a method to allocate multiple cameras to a better or the best positions. In RoboCup Small Size League(SSL), two or more cameras are used, and we have to decide the layout of them at the ven...
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Chapter and Conference Paper
Dynamic Positioning Method Based on Dominant Region Diagram to Realize Successful Cooperative Play
In this paper, we propose a new technique to compute, in real time, the positions of robots in a cooperative play such as the pass-and-shoot play. To evaluate the positioning of the robot, we use the Dominant Reg...
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Chapter and Conference Paper
Precise Extraction of Partially Occluded Objects by Using HLAC Features and SVM
In the RoboCup competition, robot soccer game, ball and robots are extracted by using color information. If color markers attached on the robot or a ball itself are occluded, especially the occlusion ratio is ...
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Chapter and Conference Paper
Cooperative 3-Robot Passing and Shooting in the RoboCup Small Size League
This paper describes a method for cooperative play among 3 robots in order to score a goal in the RoboCup Small Size League. In RoboCup 2005 Osaka, our team introduced a new attacking play, where one robot kic...
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Chapter and Conference Paper
Orientation Extraction and Identification of the Opponent Robots in RoboCup Small-Size League
In RoboCup small-size league, it is necessary to analyze the opponent robots’ behavior in order to make a strategy of the own team. However, it is difficult to prepare image processing methods in advance in or...
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Chapter and Conference Paper
Cooperative Soccer Play by Real Small-Size Robot
One of the typical cooperative actions is the pass play in RoboCup small-size league. This paper presents three technical key features to realize robust pass play between robots. The first one is the high reso...
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Chapter and Conference Paper
Fast Image Processing and Flexible Path Generation System for RoboCup Small Size League
Two key features of successful multi-robot systems in RoboCup are robustness of a vision system and optimization of feedback control in order to reach the goal point and generate the action under the team stra...
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Chapter and Conference Paper
Owaribito — A Team Description
In this paper, we describe image processing method for highspeed robot ID recognition with black and white markers, path generation algorithm which controls left and right wheel velocity independently, strateg...
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Chapter and Conference Paper
Potential Field Approach to Short Term Action Planning in RoboCup F180 League
We propose a potential field approach to represent a game situation. In a potential field, a ball should be moved according to the gradient of the potential field. There are three kinds of potential fields. On...
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Chapter and Conference Paper
OWARI-BITO
OWARI-BITO team consists of 5 small robots, each of which is sized in 10 cm wide, 10 cm deep and 17 cm high (except an antenna). The purposes of the research project are the study on the cooperation among robo...
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Chapter and Conference Paper
From Play Recognition to Good Plays Detection
This paper describes an attempt to review the teams participating in RoboCup simulator leagues. RoboCup simulator games are played through communication between soccer player clients and the soccer server. The...
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Chapter and Conference Paper
A Dedicated Graphics Processor SIGHT-2
SIGHT-2 is a multiprocessor system that is intended to efficiently execute the ray tracing algorithm. To achieve high efficiency, three kinds of parallel execution mechanisms; (i) a multiprocessor configuratio...
