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.
Java 1.6 is required and SWT library that can run on your computer.
- Run the application
- In the menu choose to draw a new map or use an existing one (map300.slm is a good example)
- use the keys w,a,s,d to navigate the robot the map will start to built.
- Fork it
- Create your feature branch (
git checkout -b my-new-feature) - Commit your changes (
git commit -am 'Added some feature') - Push to the branch (
git push origin my-new-feature) - Create new Pull Request