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Triple-AAidan

PROFILE

Triple-aaidan

Aidan Lee developed core control and visualization features for the BitBucketsFRC4183/FRC2025-Reefscape robotics repository over three months, focusing on elevator and arm subsystems. He established a modular architecture in Java and Kotlin, integrating SparkMax and TalonFX motor controllers with encoder IO and motion profiling to enable precise, reliable movement. His work included 2D SmartDashboard visualization for real-time operator feedback, PID tuning for safe, predictable control, and a coordinated intake command that synchronized multiple subsystems. By reorganizing the project structure and modularizing control logic, Aidan improved maintainability, accelerated development, and laid a robust foundation for future automation and testing enhancements.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

29Total
Bugs
0
Commits
29
Features
8
Lines of code
2,397
Activity Months3

Work History

March 2025

5 Commits • 3 Features

Mar 1, 2025

March 2025 highlights: Delivered visibility, coordination, and tuning improvements for Reefscape, boosting operator situational awareness, reliability of arm/elevator interactions, and autonomous performance. Implementation emphasizes measurable business value through predictable robot behavior and faster iteration cycles.

February 2025

4 Commits • 2 Features

Feb 1, 2025

February 2025: Delivered two major arm/elevator control improvements to Reefscape, focusing on responsiveness, accuracy, and modular integration. The work enhances automation potential and operator reliability while improving maintainability and testability.

January 2025

20 Commits • 3 Features

Jan 1, 2025

January 2025 Reefscape (BitBucketsFRC4183) monthly summary: Delivered a robust elevator subsystem foundation and upgraded project architecture to accelerate future development, improve reliability, and enable precise control with data logging. The work supports safer, more predictable elevator behavior and faster feature delivery for the FRC robot system, with a scalable structure to reduce merge conflicts and onboarding time.

Activity

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Quality Metrics

Correctness79.6%
Maintainability78.6%
Architecture78.0%
Performance68.2%
AI Usage20.6%

Skills & Technologies

Programming Languages

GradleJavaKotlin

Technical Skills

Build ConfigurationCode OrganizationCommand-Based FrameworkConstants ManagementControl SystemsEmbedded SystemsFeedforward ControlInput HandlingInterface DesignJavaMotion ProfilingMotor ControlPID ControlPID TuningRobot Command Development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

BitBucketsFRC4183/FRC2025-Reefscape

Jan 2025 Mar 2025
3 Months active

Languages Used

GradleJavaKotlin

Technical Skills

Build ConfigurationCode OrganizationCommand-Based FrameworkConstants ManagementControl SystemsEmbedded Systems

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