Team302/2025Reefscape
Jan 2025 – Mar 2025
2 Months active
Languages Used
C++
Technical Skills
Embedded SystemsRoboticsState MachineState MachinesLoggingRefactoring
Brady Wood
PROFILE
Brady Wood
Brady Wood contributed to the Team302/2025Reefscape repository by engineering state-machine driven control features and refactoring core logging infrastructure. He developed gamepad-responsive scoring and intake transitions, integrating sensor data to automate algae and reef interactions, which improved operator control and system robustness. Brady’s work included expanding global state transitions to enhance responsiveness and maintainability. In a subsequent effort, he refactored the DragonDataLogger into a unified SignalLogger, centralizing numeric and string data logging to decouple signal updates from the data manager. His contributions demonstrated proficiency in C++, embedded systems, and software refactoring, delivering maintainable solutions aligned with project architecture goals.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
4
Lines of code
132
Activity Months2
Your Network
12 peopleSame Organization
@stu.lok12.org3
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focused on the Team302/2025Reefscape effort. The primary deliverable this month was a refactor of DragonDataLogger to a unified SignalLogger, centralizing logging for both numeric (double) and string data and decoupling signal updates from the data manager. This work aligns with architecture goals to improve maintainability and position the codebase for future performance optimizations.
2 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focused on the Team302/2025Reefscape effort. The primary deliverable this month was a refactor of DragonDataLogger to a unified SignalLogger, centralizing logging for both numeric (double) and string data and decoupling signal updates from the data manager. This work aligns with architecture goals to improve maintainability and position the codebase for future performance optimizations.
March 2025
January 2025
11 Commits • 3 Features
Jan 1, 2025January 2025 — Focused enhancements to Reefscape's control plane. Key features delivered include gamepad-driven scoring and state transitions for scoring positions, algae-intake transitions responsive to mode and sensors, and expanded global transitions across Ready/Intake/Process/Expel/Off to react to gamepad input and sensor states. No explicit bug fixes were recorded; transition-condition refinements across multiple states improved stability and correctness. Overall, the work enhances operator control, reduces latency in state changes, and strengthens automation of algae/reef interactions, delivering clear business value by improving gameplay fidelity, robustness, and ease of maintenance. Technologies demonstrated include state-machine conditioning logic, gamepad input handling, sensor integration, and commit-traceable development practices.
January 2025
11 Commits • 3 Features
Jan 1, 2025January 2025 — Focused enhancements to Reefscape's control plane. Key features delivered include gamepad-driven scoring and state transitions for scoring positions, algae-intake transitions responsive to mode and sensors, and expanded global transitions across Ready/Intake/Process/Expel/Off to react to gamepad input and sensor states. No explicit bug fixes were recorded; transition-condition refinements across multiple states improved stability and correctness. Overall, the work enhances operator control, reduces latency in state changes, and strengthens automation of algae/reef interactions, delivering clear business value by improving gameplay fidelity, robustness, and ease of maintenance. Technologies demonstrated include state-machine conditioning logic, gamepad input handling, sensor integration, and commit-traceable development practices.
Activity
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Quality Metrics
Correctness80.0%
Maintainability81.6%
Architecture77.0%
Performance87.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Embedded SystemsLoggingRefactoringRoboticsSoftware RefactoringState MachineState Machines
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