frc78/2025-robot
Mar 2025 – Mar 2025
1 Month active
Languages Used
JavaKotlin
Technical Skills
CalibrationConfiguration ManagementEmbedded SystemsRobot Control SystemsRoboticsRobotics Software Development
Timothy Sieben
PROFILE
Timothy Sieben
Developed a competition-ready tuning framework for the frc78/2025-robot repository, focusing on calibration and configuration management for swerve drive systems. The work introduced CompBotTunerConstants with IS_COMP gating to distinguish competition builds, enabling targeted tuning and improved reliability. Detailed swerve drive configurations and PID gains were defined in Java and Kotlin, while slip current thresholds and encoder offsets were refined to enhance stability during field testing. Updates to alpha bot tuner constants ensured consistency across platforms, reducing calibration time and increasing drive precision. This approach supported both autonomous and teleoperated modes, contributing to more efficient iteration and robust robot control systems.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
300
Activity Months1
Your Network
9 peopleSame Organization
@aquidneckislandrobotics.org1
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 delivered a key competition-ready tuning framework for frc78/2025-robot. Implemented CompBotTunerConstants with IS_COMP gating to separate competition builds, introduced detailed swerve drive configurations and PID gains, and refined tuning parameters including slip current threshold and encoder offsets to improve stability and performance in field tests. Also updated alpha bot tuner constants to maintain parity across bots, enabling faster iteration. These changes reduce calibration time, improve drive precision under competitive conditions, and increase reliability of autonomous and teleoperated modes.
2 Commits • 1 Features
Mar 1, 2025March 2025 delivered a key competition-ready tuning framework for frc78/2025-robot. Implemented CompBotTunerConstants with IS_COMP gating to separate competition builds, introduced detailed swerve drive configurations and PID gains, and refined tuning parameters including slip current threshold and encoder offsets to improve stability and performance in field tests. Also updated alpha bot tuner constants to maintain parity across bots, enabling faster iteration. These changes reduce calibration time, improve drive precision under competitive conditions, and increase reliability of autonomous and teleoperated modes.
March 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaKotlin
Technical Skills
CalibrationConfiguration ManagementEmbedded SystemsRobot Control SystemsRoboticsRobotics Software DevelopmentSwerve DriveTuning
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