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
During March 2025, Thomas Sieben developed a competition-ready tuning framework for the frc78/2025-robot repository, focusing on calibration and configuration management for swerve drive systems. He implemented CompBotTunerConstants with IS_COMP gating to distinguish competition builds, enabling targeted tuning and improved reliability. Using Java and Kotlin, Thomas defined detailed PID gains and refined parameters such as slip current thresholds and encoder offsets, directly enhancing drive stability and performance during field testing. He also synchronized alpha bot tuner constants with the competition bot, streamlining iteration and reducing calibration time. The work demonstrated depth in embedded systems and robotics software development.
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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