Team302/2025Reefscape
Jan 2025 – Jul 2025
4 Months active
Languages Used
C++HeaderJava
Technical Skills
C++Control SystemsData ManagementDesign PatternsEmbedded SystemsNetwork Tables
Alyssa
PROFILE
Alyssa
Frank contributed to Team302/2025Reefscape by developing and refining robotics control systems, focusing on both feature delivery and code maintainability. He built frameworks for sensor data management and structured testing, and enhanced mechanisms such as climber and DragonTale with new manual and autonomous modes. Using C++ and leveraging object-oriented design, Frank centralized field element calculations and standardized offset handling to improve code clarity and future extensibility. His work included integrating holonomic drive, implementing robust elevator controls, and exposing public APIs to support ongoing development. Throughout, he addressed bugs and refactored code, demonstrating depth in embedded systems and robotics software engineering.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
57Total
Bugs
7
Commits
57
Features
28
Lines of code
2,339
Activity Months4
Your Network
9 people
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Team302/2025Reefscape focusing on refactoring FieldElementCalculator offsets to standardize and centralize constants, with groundwork laid for future modifications. The effort consolidates zero-offset definitions, improves readability, and reduces duplication across the codebase.
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Team302/2025Reefscape focusing on refactoring FieldElementCalculator offsets to standardize and centralize constants, with groundwork laid for future modifications. The effort consolidates zero-offset definitions, improves readability, and reduces duplication across the codebase.
July 2025
March 2025
15 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for Team302/2025Reefscape: Delivered end-to-end improvements across hardware control, driver mappings, and safety hardening. Key capabilities include capping control with trigger-based operation and intake sensor default, elevator soft limits with refined position calculations, climber Deliver state and extender hardware integration, and drive-to-processor navigation with corrected control mapping. These changes enhance operator control, reliability, and enable new hardware configurations for safer autonomous workflows and more direct processor-targeting capabilities.
March 2025
15 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for Team302/2025Reefscape: Delivered end-to-end improvements across hardware control, driver mappings, and safety hardening. Key capabilities include capping control with trigger-based operation and intake sensor default, elevator soft limits with refined position calculations, climber Deliver state and extender hardware integration, and drive-to-processor navigation with corrected control mapping. These changes enhance operator control, reliability, and enable new hardware configurations for safer autonomous workflows and more direct processor-targeting capabilities.
February 2025
22 Commits • 16 Features
Feb 1, 2025February 2025 monthly summary for Team302/2025Reefscape: Focused on delivering robust control system enhancements and enabling future work through refactors and public APIs, while stabilizing the platform with targeted bug fixes. Highlights include Pose2D Dragontale registration, replacing hardcoded reef center constants with dynamic values, and exposing SetCurrentState publicly. Completed the switch to DTF and updated gear ratios and motor controllers for mechs, plus LED changes and elevator velocity tuning. Strengthened drive capabilities with Holonomic Drive integration and enhanced error logging. Advanced climber support with PID generation and codegen init state integration. Several ancillary updates improved maintainability: code comments cleanup, logging test removal, team number revert, and forgotten save fix. Ongoing work items identified for continued refinements in the ec1c59f9 branch and miscellaneous updates.
22 Commits • 16 Features
Feb 1, 2025February 2025 monthly summary for Team302/2025Reefscape: Focused on delivering robust control system enhancements and enabling future work through refactors and public APIs, while stabilizing the platform with targeted bug fixes. Highlights include Pose2D Dragontale registration, replacing hardcoded reef center constants with dynamic values, and exposing SetCurrentState publicly. Completed the switch to DTF and updated gear ratios and motor controllers for mechs, plus LED changes and elevator velocity tuning. Strengthened drive capabilities with Holonomic Drive integration and enhanced error logging. Advanced climber support with PID generation and codegen init state integration. Several ancillary updates improved maintainability: code comments cleanup, logging test removal, team number revert, and forgotten save fix. Ongoing work items identified for continued refinements in the ec1c59f9 branch and miscellaneous updates.
February 2025
January 2025
18 Commits • 7 Features
Jan 1, 2025January 2025 focused on building a scalable data foundation, robust testing, and reinforced control systems for Reefscape. Key work includes establishing a sensor data management and caching framework, introducing a structured testing infrastructure, and delivering significant improvements to climber control and DragonTale mechanisms with algae integration. Targeted state-machine refinements and control-loop order improvements enhanced real-time decision making and reliability, complemented by a critical bug fix in IntakeManager transitions.
January 2025
18 Commits • 7 Features
Jan 1, 2025January 2025 focused on building a scalable data foundation, robust testing, and reinforced control systems for Reefscape. Key work includes establishing a sensor data management and caching framework, introducing a structured testing infrastructure, and delivering significant improvements to climber control and DragonTale mechanisms with algae integration. Targeted state-machine refinements and control-loop order improvements enhanced real-time decision making and reliability, complemented by a critical bug fix in IntakeManager transitions.
Activity
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Quality Metrics
Correctness82.4%
Maintainability83.6%
Architecture79.2%
Performance76.8%
AI Usage20.4%
Skills & Technologies
Programming Languages
C++HeaderJava
Technical Skills
Autonomous NavigationC++C++ DevelopmentCode CleanupCode CorrectionCode GenerationControl SystemsCoordinate SystemsData ManagementDebuggingDesign PatternsEmbedded SystemsField Element CalculationGame DevelopmentLogging
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