Robot SLAM Simulator

SLAM (stands for Simultaneous Localization And Mapping) is a technique for robot's navigation in areas with no prior knowledge about it.

You can think of the algorithm that iRobots use to build a map of your house and know where the next place to clean.

This simulator implements the SLAM algorithm and simulate a "real" world conditions (like sensors read errors, false odometry etc...) and tries to build a map while navigating the area.

Pre Requisits

Java 1.6 is required and SWT library that can run on your computer.

Usage

1. Run the application
2. In the menu choose to draw a new map or use an existing one (map300.slm is a good example)
3. use the keys w,a,s,d to navigate the robot the map will start to built.

Contributing

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Added some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create new Pull Request