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Robocode is a programming game, where the goal is to develop a robot battle tank to battle against other tanks with Java. The robot battles are running in real-time and on-screen. The motto of Robocode is: Build the best, destroy the rest!
The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners.
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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.
"Java Artificial Intelligence Markup Language PAD" is a tool that manages ProgramD AI (on local or remote machines) and AIML files with real-time previews and it provides a network support to test AI capabilities over many network protocols.
This project about providing run-time support for developing Decentralized Autonomic Computing systems (Eclipse Innovation Grand). Currently the project contains a automatic guided vehicle (AGV) simulator and an editor and visualisation as eclipse plugin
A simulation environment for 2D robots to interact and perform tasks in. Meant to be educational and demonstrate emergent behaviors. No download necessary! See demos on project website!
This is a fork of the JollyNinja Bot for Robocode. The project intends to document JollyNinja's source code, make it work in teams and provide a solid API to base other Bots on, especially TeamRobot based bots.
lejON, the LeJOS Odometric Navigator is a project which extends the LeJOS-API for LEGO Mindstorms bots. It adds a Java-API to LeJOS in order to control two-wheeled drives only by using motors and rotation sensors -- and nothing else.
SB-MASE is aimed at students and researchers in AI, for simulation and control of agents and robots. It uses task based decomposition and the subsumption architecture as its core control mechanisms and includes numerous possibilities for adding plug-ins.