Resources

This is the 2022 robot code written in Java. The code includes all the Robot movement, camera and turret tracking, autonomous, user control, logging and diagnostics.

This is the 2020 robot code written in Java. The code includes all the Robot movement, user control, unit testing, logging and diagnostics.

This is the 2019 robot code written in Java. The code includes all the Robot movement, camera management, component control (including PID), logging and diagnostics.

This is the extracted generic code that can be used in Robot projects through the seasons. The code consists of several utilities and frameworks, including: Logging, Swerve library, Wrapper classes for various sensors, diagnostics, Limelight distance calculation.

This code uses LabVIEW 2018 (FRC 2019 season) to implement a four wheel swerve system. The hardware is essentially the same as that used in our Java implementation (see previous code release below).

This is the entire 2018 robot code written in Java. Our C++ and LabVIEW implementations are incomplete and therefore not posted. There's some useful nuggets of code that others may find useful but you'll have to look for yourself. Hopefully the comments will help.

As of the 2018 season (PowerUp), WPIlib did not have built-in support for swerve drive drivetrains. This means that unlike other drivetrains, a robot built with swerve wheels has a much longer software development and test cycle. This seemed a little unfair so we're making our code public to help even the playing field on drivetrains. We used the AndyMark AM-3009 swerve drive modules in both 2017 and 2018.

The 2018 re-write used the updated Talon SRX library and the code was better compartmentalized. It should be extensible and tunable to other swerve drive implementations that use different gear ratios, closed loop sensors, motor controllers, etc. The Java code is tested. We used it on our robot. The C++ code is only partially tested and will likely require further debug and tweaking to match the Java code in terms of performance. The software is open source and made freely available to all FRC teams.

This is Android (tablet) and Java (laptop) software for the Steamworks game. We started with the 2016 scouting code and modified it to be more modular. This makes it a better foundation for future games. Anyone interested in the general architecture and porting of our code should look at both the 2016 and 2017 code.

This is Android (tablet) and Java (laptop) software for the Stronghold game. The Android software ran on Amazon Fire tablets to collect game information during the competition. The host software collected data from six tablets per match and adds them into a database for later queries. The software is open source and needs to be customized (data captured, user interface, queries, etc) each FRC season to match that year's challenge.