Earl-Of-March-FRC/2025-7476-Reefscape
Jan 2025 – Dec 2025
5 Months active
Languages Used
JavaPythonBatchC++CSSHTMLJavaScriptJSON
Technical Skills
Code OrganizationComputer VisionImage ProcessingRefactoringRoboticsAutomation
Elliott
PROFILE
Elliott
Starlliott developed advanced perception and localization features for the Earl-Of-March-FRC/2025-7476-Reefscape repository, focusing on robust autonomous robotics. Over five months, they overhauled the algae vision system using Python and OpenCV, integrating camera calibration, real-time image processing, and NetworkTables communication to enable autonomous algae collection. They refactored command-based Java code for improved reliability, introduced a robot-to-camera transformation utility for accurate pose estimation, and implemented a JSON-based AprilTag layout for flexible field configuration. Their work emphasized maintainable code organization, automation, and subsystem integration, resulting in a deeply engineered, extensible robotics software stack that supports reliable autonomous operation.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
22Total
Bugs
1
Commits
22
Features
7
Lines of code
6,630
Activity Months5
Your Network
12 people
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a new JSON Layout for April Tags in the Reefscape project, enabling precise pose estimation and easier configuration for AprilTag-based localization. The feature defines field dimensions and specific tag poses with translations and rotations, supporting robust localization pipelines and future extensibility. No major bugs fixed this month; focus was on delivery and validation of the new layout. Overall impact: improved localization reliability, data-driven configuration, and smoother integration with downstream mapping/components.
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a new JSON Layout for April Tags in the Reefscape project, enabling precise pose estimation and easier configuration for AprilTag-based localization. The feature defines field dimensions and specific tag poses with translations and rotations, supporting robust localization pipelines and future extensibility. No major bugs fixed this month; focus was on delivery and validation of the new layout. Overall impact: improved localization reliability, data-driven configuration, and smoother integration with downstream mapping/components.
December 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered a new Robot-to-Camera Transformation Utility (getRobotToCam) in the Reefscape project to enable reliable pose estimation and sensor fusion across robot and camera frames. The utility computes the robot-to-camera transform by inverting the camera-to-tag transform and composing it with the robot-to-tag transform, providing a consistent, calibration-friendly input for downstream localization and perception components.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered a new Robot-to-Camera Transformation Utility (getRobotToCam) in the Reefscape project to enable reliable pose estimation and sensor fusion across robot and camera frames. The utility computes the robot-to-camera transform by inverting the camera-to-tag transform and composing it with the robot-to-tag transform, providing a consistent, calibration-friendly input for downstream localization and perception components.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for Earl-Of-March-FRC/2025-7476-Reefscape. Focused on autonomous reliability and navigation accuracy enhancements. Delivered a refactor of the GoToAlgae Command with automatic intake scheduling and simplified initialization, reducing runtime checks and consolidating timer logic. Resolved drivetrain pose estimation issues by applying component-wise X/Y/Z averaging and cleaning up distance calculations with Math.hypot. These changes improve autonomous algae navigation reliability, reduce setup and edge-case failures, and strengthen code maintainability. Demonstrated strong command-based architecture, subsystem integration, and robust math methodologies.
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for Earl-Of-March-FRC/2025-7476-Reefscape. Focused on autonomous reliability and navigation accuracy enhancements. Delivered a refactor of the GoToAlgae Command with automatic intake scheduling and simplified initialization, reducing runtime checks and consolidating timer logic. Resolved drivetrain pose estimation issues by applying component-wise X/Y/Z averaging and cleaning up distance calculations with Math.hypot. These changes improve autonomous algae navigation reliability, reduce setup and edge-case failures, and strengthen code maintainability. Demonstrated strong command-based architecture, subsystem integration, and robust math methodologies.
March 2025
February 2025
14 Commits • 2 Features
Feb 1, 2025February 2025: End-to-end overhaul of the algae vision system for Reefscape and deployment tooling to streamline field operations. Delivered a perception-to-action loop from webcam/Limelight-based detection to distance/angle calculations, NetworkTables data transmission to the RoboRIO, and integrated path planning for autonomous algae collection. Also shipped deployment tooling to automate vision-system setup on Raspberry Pi, reducing field setup time and enabling reliable on-boot startup.
February 2025
14 Commits • 2 Features
Feb 1, 2025February 2025: End-to-end overhaul of the algae vision system for Reefscape and deployment tooling to streamline field operations. Delivered a perception-to-action loop from webcam/Limelight-based detection to distance/angle calculations, NetworkTables data transmission to the RoboRIO, and integrated path planning for autonomous algae collection. Also shipped deployment tooling to automate vision-system setup on Raspberry Pi, reducing field setup time and enabling reliable on-boot startup.
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for Earl-Of-March-FRC/2025-7476-Reefscape. This period focused on delivering robust perception capabilities and improving codebase maintainability to support faster iteration and more reliable autonomous behavior in Reefscape. Key features were implemented alongside targeted bug fixes and integration enhancements to strengthen production readiness and team velocity.
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for Earl-Of-March-FRC/2025-7476-Reefscape. This period focused on delivering robust perception capabilities and improving codebase maintainability to support faster iteration and more reliable autonomous behavior in Reefscape. Key features were implemented alongside targeted bug fixes and integration enhancements to strengthen production readiness and team velocity.
January 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.4%
Architecture84.6%
Performance77.2%
AI Usage21.0%
Skills & Technologies
Programming Languages
BatchC++CSSHTMLJSONJavaJavaScriptPython
Technical Skills
AutomationCamera CalibrationCode OrganizationCommand-Based FrameworkComputer VisionCoordinate TransformationsEmbedded SystemsImage ProcessingJavaJava DevelopmentNetwork TablesNumPyObject DetectionObject-Oriented ProgrammingOpenCV
Repositories Contributed To
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