Team-4536/FRC-2025
Mar 2025 – Mar 2025
1 Month active
Languages Used
Python
Technical Skills
Control SystemsPID TuningRobotics
DS_Laptop
PROFILE
Ds_laptop
Emmett Sackett developed and integrated swerve drive control tuning and monitoring features for the Team-4536/FRC-2025 repository. Focusing on robotics control systems, Emmett tuned PID gains and adjusted acceleration limits to enhance drive responsiveness and stability. He implemented real-time monitoring by adding a network table entry for the front-left drive motor output, enabling more effective diagnostics and safer testing. Additionally, Emmett introduced a control flag, hal.rotPIDToggle, to support future control logic expansion. Working exclusively in Python, he addressed a prior drive slowdown issue, demonstrating depth in control systems engineering and laying groundwork for scalable, maintainable robotics software development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
15
Activity Months1
Your Network
12 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Delivered Swerve Drive Control Tuning and Monitoring Integration for Team-4536/FRC-2025. Key work included tuning PID gains and acceleration limits to improve drive responsiveness and stability, adding a network table entry to monitor the front-left drive motor output, and introducing hal.rotPIDToggle initialized to false for future control logic. The work also addressed a prior slowdown issue (commit 6a1bfdd50af37334d01e73667624ce460f24dc59). Overall impact: more reliable, responsive drive enabling safer testing, quicker iteration cycles, and stronger readiness for competition. Technologies/skills demonstrated include PID tuning, real-time monitoring via network tables, and forward-looking control flag design for scalable control logic.
1 Commits • 1 Features
Mar 1, 2025March 2025: Delivered Swerve Drive Control Tuning and Monitoring Integration for Team-4536/FRC-2025. Key work included tuning PID gains and acceleration limits to improve drive responsiveness and stability, adding a network table entry to monitor the front-left drive motor output, and introducing hal.rotPIDToggle initialized to false for future control logic. The work also addressed a prior slowdown issue (commit 6a1bfdd50af37334d01e73667624ce460f24dc59). Overall impact: more reliable, responsive drive enabling safer testing, quicker iteration cycles, and stronger readiness for competition. Technologies/skills demonstrated include PID tuning, real-time monitoring via network tables, and forward-looking control flag design for scalable control logic.
March 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture60.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Control SystemsPID TuningRobotics
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