Search Results for "robocup 2d soccer"
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Showing 49 open source projects for "robocup 2d soccer"
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Tux Football, a fun arcade-style 2D football game for Windows and Linux, very reminsicent of Sensible Soccer and Kick Off.
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*** The site is moved to github *** https://github.com/rcsoccersim The RoboCup Soccer Simulator is a research and educational tool for multi-agent systems and artificial intelligence. It enables for two teams of 11 simulated autonomous robotic players to play soccer (football).
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Scorpius Robocup soccer simulation team. we will release our binaries, base code, trainers and useful documents here.
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FCPortugalSPlanner
Graphical tool to specify "Setplays" to use with Setplay Library
FCPortugal SPlanner is a Graphical tool to design Setplays(set pieces) to use with Soccer playing robots in Robocup. This tool exports configuration files(.conf) that describe collaborative behavior in soccer, and can be used together with FCPortugalSetplay and FCPortugalSetplayAgent2D packages to provide setplay capabilities to soccer agents in 2D Simulation. -
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Atan is an interface to the RoboCup Soccer Server for the 2D simulation league. It should allow you to concentrate on the job of controlling your clients without having to worry about the communication syntax with SServer or creating the UDP connections.
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FCPortugalSetplays
RoboCup Setplays
Generic framework for Setplay execution in Robotic Soccer. Setplays can be seen as small, distributed plans to be executed in particular game situations. The fremework includes several tools for Setplay management, execution, parsing and selection. The framework has successfully been applied to different RoboCup leagues and teams. -
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Apollo3D is a team in RoboCup soccer simulation 3D league. The target is to build a nice team with wonderful skills and good cooperation among players.
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The RoboCup MSL Refbox is used for helping the referee to control a robotic soccer game (used by RoboCup Midsize league).
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MSL-Refbox-android
Android version of the MSL-Refbox
This is the Android version of the MSL-Refbox. The RoboCup MSL Refbox is used for helping the referee to control a robotic soccer game (used by RoboCup Midsize league). It runs on Android 4.0 tablet with a minimal screen resolution of 1280 x 800 mdpi (10.1" WXGA), minimal API-Level 14 Tested on: Acer Icona A500 -
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FHSoccerSeminar
Virtual Soccer Teams
Fast jeder hat schon einmal von den "Fußball-Robotern" gehört, die regelmäßig zum Robocup antreten. Etwas unbekannter ist die Simulation League, in der "nur" Software gegeneinander antritt - der ganze Rest wird simuliert. Aber wie können elf separat programmierte Spieler zu einer Mannschaft geformt werden? In einem Seminar an der FHWS Würzburg-Schweinfurt entwickeln Studierende der Vertiefung Medieninformatik ein System autonomer Agenten, das diese Herausforderung meistert. -
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QCSS Player by Shuffle
QCSS Player by Shuffle
The most advanced Player for Quantum Consciousness Soccer Simulator! QCSS by @nbatfai https://sourceforge.net/projects/qcss/ -
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UNIMATRIX is a students project from the "University of Applied Sciences Fulda" managed by Prof. Dr. Oleg Taraszow. We design an autonomous team of robots playing soccer in the RoboCup Small-Sized League.
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The goal of our project is to develop a functional RoboCup3D team composed of independent humanoids capable of mimicking intelligent behavior in the field of soccer play.
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Qb Source code Release Qb 2D Soccer Simulation Team , based on WE2010 Robocup Project , Islamic Republic of IRAN Created by vahid taghizadeh ( vah7id@rocketmail.com )
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RoboBeans is an interface to the "Robocup 2D Soccer Simulation Server" that allows developers to write Robocup teams\agents concentrating on behaviour and AI without having to worry about syntax of communication or network issues.
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RoboBeans Agent Framework is based on the RoboBeans Library for interfacing to the RoboCup 2D Soccer Simulation Server. It utilizes a finite state machine approach to control the behaviour of the agent.
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The source code of the Brainstormers' RoboCup champion team 2005 has been made publicly available at the end of 2005. That source code release contains also a lot of our results in applying Reinforcement Learning in the simulated soccer domain.
