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Simbad is a Java 3d robot simulator for scientific and educationnal purposes. It is mainly dedicated to researchers/programmers who want a simple basis for studying Situated Artificial Intelligence, Machine Learning, and more generally AI algorithms, in the context of Autonomous Robotics and Autonomous Agents. It is not intented to provide a rea…
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jimmikaelkael/simbad
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README ======================================= Thank you for your interest in Simbad ! Simbad is a Robot 3d simulator for scientific and educationnal purposes. It is voluntarily kept simple and readable to enable a programmer to design its own robot behavior and environment. To contact the authors: Louis Hugues: [email protected] Nicolas Bredeche : [email protected] REQUIREMENTS: ======================================= It is based solely on Java (>= 1.4.2) and Java3D. ======================================= DISTRIBUTION CONTENT : + src/simbad directory : the source of Simbad simulator. + src/contrib directory : contributed components to Simbad. + src/examples directory : examples you can use as starting point + doc/api directory : javadoc files. + lib directory : the place where jar files are stored. + python directory : python example scripts for simbad. + build.xml file : the ant build file. ====================================== HOW TO USE DEMO: You must have installed Java3D. Launch the demo application : java -jar lib/simbad.jar or: java -cp lib/simbad.jar simbad.gui.Simbad ====================================== HOW TO USE PYTHON EXAMPLES: You need first to install jython (www.jython.org) and add lib/simbad.jar to your CLASSPATH. Run: jython python/simple_plan.py ====================================== HOW TO BUILD : Simbad distribution comes directly with compiled jar file and does not need compilation. However if you modify the source you can recompile with ant tool: ant clean ant dist ======================================
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Simbad is a Java 3d robot simulator for scientific and educationnal purposes. It is mainly dedicated to researchers/programmers who want a simple basis for studying Situated Artificial Intelligence, Machine Learning, and more generally AI algorithms, in the context of Autonomous Robotics and Autonomous Agents. It is not intented to provide a rea…
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