RobotCasserole1736/RobotCasserole2025
Jan 2025 – Mar 2025
3 Months active
Languages Used
CSSHTMLJSONJavaScriptPythonSVGShell
Technical Skills
Autonomous NavigationAutonomous ProgrammingCI/CD SetupCalibrationConfigurationConfiguration Management
ElliottHicks1125
PROFILE
Elliotthicks1125
Overall Statistics
Feature vs Bugs
91%Features
Repository Contributions
27Total
Bugs
1
Commits
27
Features
10
Lines of code
17,979
Activity Months3
Your Network
10 people
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 (RobotCasserole2025): Focused on codebase hygiene to improve maintainability and developer velocity. Delivered targeted cleanup removing noisy logging and obsolete climb components in the core control modules, establishing a cleaner foundation for upcoming features and faster CI cycles. This work reduces runtime noise, simplifies dashboards, and lowers the risk of regressions in production.
2 Commits • 1 Features
Mar 1, 2025March 2025 (RobotCasserole2025): Focused on codebase hygiene to improve maintainability and developer velocity. Delivered targeted cleanup removing noisy logging and obsolete climb components in the core control modules, establishing a cleaner foundation for upcoming features and faster CI cycles. This work reduces runtime noise, simplifies dashboards, and lowers the risk of regressions in production.
March 2025
February 2025
13 Commits • 6 Features
Feb 1, 2025February 2025 monthly summary focusing on delivering high-value features across RobotCasserole2025, driving operator efficiency, reliability, and autonomous capability. The work emphasizes visual clarity on the dashboard, robust control state handling, improved initialization/calibration workflows, and expanded autonomous scoring options, while advancing algae-related manipulations and drivetrain tuning to enhance driver performance and competition readiness.
February 2025
13 Commits • 6 Features
Feb 1, 2025February 2025 monthly summary focusing on delivering high-value features across RobotCasserole2025, driving operator efficiency, reliability, and autonomous capability. The work emphasizes visual clarity on the dashboard, robust control state handling, improved initialization/calibration workflows, and expanded autonomous scoring options, while advancing algae-related manipulations and drivetrain tuning to enhance driver performance and competition readiness.
January 2025
12 Commits • 3 Features
Jan 1, 2025January 2025 (RobotCasserole1736/RobotCasserole2025) delivered major gains in autonomous capability, perception, and hardware reliability, enabling more reliable operations and faster iteration cycles. Key features delivered include a full Autonomous Mode framework with AutoSequencerV2 integrated into the drivetrain, supporting DoNothingMode and WaitCommand; migration of trajectory handling to the choreo library with trajectory loading/sampling, plus test drives (DriveTest1/DriveTest2), choreo config updates, and CI scaffolding. A new Vision camera feeds dashboard was introduced to display four PhotonVision feeds in a grid with navigation, and an Auto-steer system was integrated into the drivetrain loop to enable autonomous steering requests with improved dashboard visibility. In parallel, calibration and hardware mapping fixes (drivetrain encoder offsets, camera alignment, CAN IDs, and motor wrapper updates) improved pose estimation accuracy and motor control reliability. Overall, these completed efforts increase autonomous reliability, reduce pre-season testing time, and enhance operator visibility and diagnostics. Technologies/skills demonstrated include AutoSequencerV2, choreo library migration, trajectory handling, test-driven drives, Vision/PhotonVision dashboards, auto-steer control, CAN bus integration, and hardware calibration techniques.
12 Commits • 3 Features
Jan 1, 2025January 2025 (RobotCasserole1736/RobotCasserole2025) delivered major gains in autonomous capability, perception, and hardware reliability, enabling more reliable operations and faster iteration cycles. Key features delivered include a full Autonomous Mode framework with AutoSequencerV2 integrated into the drivetrain, supporting DoNothingMode and WaitCommand; migration of trajectory handling to the choreo library with trajectory loading/sampling, plus test drives (DriveTest1/DriveTest2), choreo config updates, and CI scaffolding. A new Vision camera feeds dashboard was introduced to display four PhotonVision feeds in a grid with navigation, and an Auto-steer system was integrated into the drivetrain loop to enable autonomous steering requests with improved dashboard visibility. In parallel, calibration and hardware mapping fixes (drivetrain encoder offsets, camera alignment, CAN IDs, and motor wrapper updates) improved pose estimation accuracy and motor control reliability. Overall, these completed efforts increase autonomous reliability, reduce pre-season testing time, and enhance operator visibility and diagnostics. Technologies/skills demonstrated include AutoSequencerV2, choreo library migration, trajectory handling, test-driven drives, Vision/PhotonVision dashboards, auto-steer control, CAN bus integration, and hardware calibration techniques.
January 2025
Activity
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Quality Metrics
Correctness82.2%
Maintainability83.0%
Architecture77.8%
Performance77.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJSONJavaScriptPythonSVGShell
Technical Skills
API DevelopmentAutonomous NavigationAutonomous ProgrammingAutonomous Robot ProgrammingCI/CD SetupCalibrationCode CleanupCode RefactoringConfigurationConfiguration ManagementControl SystemsDashboard DevelopmentDebuggingDriver ControlEmbedded Systems
Repositories Contributed To
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