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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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Database Driven RoboCup Rescue Server is a version of RoboCup Rescue Server (https://sourceforge.net/projects/roborescue/) which uses a database to store the simulation data in order to simulate a very large number of agents.
Originally brought to you by the Network Management and Artificial Intelligence Laboratory at Carleton University, the RoboCup Simulation Client Framework is an open source platform for writing RoboCup simulation clients with python.
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.
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.
Zigorat is a base code for creating multi-agent intelligent systems fitting in robocup soccer simulator 3d, done and created by Zigorat AI Research Team.
A Java library as a tool to interact with a Robocup Soccer Server. It enables to play soccer with an Artificial Intelligence multi-agent team based on intelligence and decision algorithms coded in JESS language.
An extended version of RoboCup Rescue Simulation official viewer intended to make it more informative. It utilizes charts, statistics and some missing little useful features.
The Shapefile2Bin project aim to convert a real map (real city) in Shape format (ArgGIS format) to Bin format (Robocup Rescue format). The map after converted is used for Robocup Rescue Simulator (see more at: Robocup Rescue Simulation Project at SF.net)
We are students from the Technical University of Federico Santa Maria (Universidad Técnica Federico Santa María, UTFSM) developing an a team of autonomous robots that play soccer for the robocup.org small size category.
JSoccerLab provides an advanced Integrated Development Environment (IDE) for RoboCup 3D Soccer Simulation developers. It helps developers to debug, and visualize what agents think. Also it is able to connect to 3D-Soccer Server as a monitor.
This project aims to develop a colour-based vision processing system for use in RoboCup. We are using a CCD camera for input to an FPGA. The system locates coloured objects and outputs detected corners.
Software project developed by the Tech United Team of the Delft University of Technology and Eindhoven University of Technology for the RoboCup middle-size league.