efyang / auton_drive_learn

3216 FTC Programming Training

auton_drive_learn

Instructions

• Read through the source files
• Make your own fork
• Create a branch called "auton-stage1" and switch to it
• Setup the project (in android studio or intellij idea - they're basically the same thing, I myself am making this in intellij)
• Complete all of the TODOs
• When ready, submit a pull request to my repository to turn it in.

Notes

• Ask me if anything needs to be clarified or fixed
• You can add comments to anywhere on a new line in the preexisting source, and you should have comments explaining what your implementations are doing

Source outline

• Drivebase: interface of a simple drivebase, with relative rotation and forward movement
• ExtendedMath: static class containing math utility functions
• Vector2F: a two-element vector
• NavigationalState: a subcomponent keeping track of all the navigational info the robot needs
• Robot: A robot with a Drivebase and a NavigationalState that moves nicely autonomously

Grading

• 20 points - style (consistent spacing, naming (camelCase), indentation, structure, etc.)
• 20 points - clarity (comments explaining your methodology and thought process, reasonable variable naming)
• 60 points - functionality (does everything work, is it as specified, and if it is a "good"/correct solution)
• Total: 100 points