
Andrew Go contributed to the SwerveRobotics/FtcRobotController repository by developing three features focused on improving tuning workflows, sensor simulation realism, and odometry flexibility. He implemented Java-based solutions for managing tuning data files, enabling users to clear outdated results and maintain data hygiene. Andrew enhanced the Wily Works simulator by introducing configurable ultrasonic sensor error modeling, allowing for more realistic sensor integration and simulation testing. Additionally, he added support for the goBilda Pinpoint Odometry Computer, refining pose velocity calculations and tuning parameters to improve localization accuracy. His work demonstrated depth in robotics, embedded systems, and software development, emphasizing maintainability and documentation.

In November 2024, the SwerveRobotics/FtcRobotController project delivered three major features that enhance tuning workflows, sensor realism, and odometry flexibility, while tightening data hygiene and localization accuracy. The work enabled faster, more reliable tuning experiments, more realistic simulation for testing, and easier hardware substitution for improved localization.
In November 2024, the SwerveRobotics/FtcRobotController project delivered three major features that enhance tuning workflows, sensor realism, and odometry flexibility, while tightening data hygiene and localization accuracy. The work enabled faster, more reliable tuning experiments, more realistic simulation for testing, and easier hardware substitution for improved localization.
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