SFUnity/Training2025-SFUnity
Jan 2025 – Apr 2025
4 Months active
Languages Used
C++JavaC#
Technical Skills
Code CleanupCode FormattingCode ReadabilityCode RefactoringCodebase ManagementCommand Pattern
MINAJECHUNG
PROFILE
Minajechung
Over four months, Michael Chung developed core robotics automation and simulation features for the SFUnity/Training2025-SFUnity repository. He architected and implemented subsystems for elevator, reef, ground, roller, and funnel control, using Java and command-based programming to enable modular, testable workflows. His work included simulation infrastructure, configuration management, and runtime tuning, reducing technical debt and supporting rapid iteration. Michael delivered automation commands for coral handling, ejection, and re-intake, improving reliability and safety. He enhanced code quality through refactoring, documentation, and formatting, and integrated embedded systems concepts such as PID control and motor configuration, resulting in a robust, maintainable codebase.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
170Total
Bugs
22
Commits
170
Features
67
Lines of code
5,191
Activity Months4
Your Network
9 peopleSame Organization
@urbanschool.org2
Work History
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for SFUnity/Training2025-SFUnity: Delivered two core features to advance automated coral handling and intake reliability. The Coral Ejection Command System introduces a configurable ejectCoral command and related eject commands for funnel and carriage, with adjustable timeouts to improve control and reliability. The Re-Intake Process adds a reIntake command and a controller binding to orchestrate pre-intake rejections and prevent jams. While no explicit bugs are documented, these changes reduce manual intervention, improve safety, and enhance automation stability across the carriage and funnel subsystems.
5 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for SFUnity/Training2025-SFUnity: Delivered two core features to advance automated coral handling and intake reliability. The Coral Ejection Command System introduces a configurable ejectCoral command and related eject commands for funnel and carriage, with adjustable timeouts to improve control and reliability. The Re-Intake Process adds a reIntake command and a controller binding to orchestrate pre-intake rejections and prevent jams. While no explicit bugs are documented, these changes reduce manual intervention, improve safety, and enhance automation stability across the carriage and funnel subsystems.
April 2025
March 2025
23 Commits • 11 Features
Mar 1, 2025March 2025 (2025-03) was focused on delivering core automation capabilities, stabilizing input/output organization, and expanding testing infrastructure to drive reliability and velocity. Key work included the funnel subsystem (FunnelIO, funnel class, SparkMax integration) wired into the robot with clearer IO/file organization, a new SetL1 command integrated into poopcmd for precise L1 level control, and the CoralFlood LED signaling feature with updated coralPassed behavior. Additional progress covered the roller subsystem and configuration, and the new simulation class to enable testing in a simulated environment. These efforts increased automation coverage, improved maintainability, and reduced reliance on physical testing during iterations.
March 2025
23 Commits • 11 Features
Mar 1, 2025March 2025 (2025-03) was focused on delivering core automation capabilities, stabilizing input/output organization, and expanding testing infrastructure to drive reliability and velocity. Key work included the funnel subsystem (FunnelIO, funnel class, SparkMax integration) wired into the robot with clearer IO/file organization, a new SetL1 command integrated into poopcmd for precise L1 level control, and the CoralFlood LED signaling feature with updated coralPassed behavior. Additional progress covered the roller subsystem and configuration, and the new simulation class to enable testing in a simulated environment. These efforts increased automation coverage, improved maintainability, and reduced reliance on physical testing during iterations.
February 2025
25 Commits • 8 Features
Feb 1, 2025February 2025 — SFUnity/Training2025-SFUnity monthly summary. Delivered core features, stabilized runtime, and improved developer efficiency. Key highlights include LED color system enhancements enabling new colors and alignment color changes; SysID command with logging improvements and operator binding; and runtime choreography updates. Major stability work fixed: merge error, motor configuration, and elevator constants. Runtime improvements extended coralHeld duration with a tuning mode, added beambreak support in the simulator, and refined coral status workflow. Code quality improvements included formatting cleanup, restoration of static imports, and constants cleanup.
25 Commits • 8 Features
Feb 1, 2025February 2025 — SFUnity/Training2025-SFUnity monthly summary. Delivered core features, stabilized runtime, and improved developer efficiency. Key highlights include LED color system enhancements enabling new colors and alignment color changes; SysID command with logging improvements and operator binding; and runtime choreography updates. Major stability work fixed: merge error, motor configuration, and elevator constants. Runtime improvements extended coralHeld duration with a tuning mode, added beambreak support in the simulator, and refined coral status workflow. Code quality improvements included formatting cleanup, restoration of static imports, and constants cleanup.
February 2025
January 2025
117 Commits • 46 Features
Jan 1, 2025January 2025 performance summary focused on establishing scalable foundations, stabilizing the simulation loop, and improving code quality to enable faster iteration and reliable delivery. Delivered core subsystems for Reef and Ground, established Elevator IO and Roller IO frameworks, and set up build/CI scaffolding, tunables management, and documentation improvements. These efforts reduce technical debt, improve reliability of simulations, and enable more business-driven experimentation with reef workflows.
January 2025
117 Commits • 46 Features
Jan 1, 2025January 2025 performance summary focused on establishing scalable foundations, stabilizing the simulation loop, and improving code quality to enable faster iteration and reliable delivery. Delivered core subsystems for Reef and Ground, established Elevator IO and Roller IO frameworks, and set up build/CI scaffolding, tunables management, and documentation improvements. These efforts reduce technical debt, improve reliability of simulations, and enable more business-driven experimentation with reef workflows.
Activity
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Quality Metrics
Correctness83.4%
Maintainability85.4%
Architecture82.0%
Performance75.0%
AI Usage21.0%
Skills & Technologies
Programming Languages
C#C++Java
Technical Skills
Autonomous RoutinesCode CleanupCode FormattingCode ReadabilityCode RefactoringCodebase ManagementCommand PatternCommand-Based FrameworkCommand-Based ProgrammingCommand-based programmingComputer VisionConfiguration ManagementConstants ManagementControl SystemsEmbedded Systems
Repositories Contributed To
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