gwhs/2025-Reefscape
Jan 2025 – Sep 2025
6 Months active
Languages Used
JavaJSON
Technical Skills
Command-Based FrameworkComputer VisionEmbedded SystemsJavaJava DevelopmentPhotonVision
Maggie Ferrer
PROFILE
Maggie Ferrer
Ma Ferrer developed advanced autonomous navigation and control features for the gwhs/2025-Reefscape robotics repository, focusing on robust field operation and safety. Over six months, they engineered vision-based localization using AprilTag and PhotonVision, integrated with a swerve drivetrain for precise pose estimation and movement. Their work included refactoring drive modes with Java enums, implementing safety logic for drivetrain and climb operations, and enhancing perception through camera configuration updates. By modernizing logging with DogLog and optimizing autonomous path planning, Ma Ferrer improved reliability, data integrity, and operator control. The solutions demonstrated depth in Java development, computer vision, and embedded systems.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
25Total
Bugs
3
Commits
25
Features
15
Lines of code
1,187
Activity Months6
Your Network
10 peopleSame Organization
@s.sfusd.edu2
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a robust autonomous path planning enhancement for unloaded coral in gwhs/2025-Reefscape. The refactor enables the robot to handle coral-data-absent scenarios by adjusting movement and scoring preparation, and it updates coral station points for more accurate positioning. These changes improve mission reliability, safety, and end-to-end task accuracy in data-sparse reef environments, delivering clear business value through reduced operator effort and higher throughput. Demonstrated skills include robotics path planning, state-driven logic, refactoring at scale, and disciplined version control.
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a robust autonomous path planning enhancement for unloaded coral in gwhs/2025-Reefscape. The refactor enables the robot to handle coral-data-absent scenarios by adjusting movement and scoring preparation, and it updates coral station points for more accurate positioning. These changes improve mission reliability, safety, and end-to-end task accuracy in data-sparse reef environments, delivering clear business value through reduced operator effort and higher throughput. Demonstrated skills include robotics path planning, state-driven logic, refactoring at scale, and disciplined version control.
September 2025
May 2025
3 Commits • 2 Features
May 1, 2025May 2025 — gwhs/2025-Reefscape: Focused on stabilizing control reliability, enhancing perception through camera enhancements, and tightening reef-mode logic under L2 contexts. Key work included reversing an unintended L2 reef alignment change to restore predictable button-driven behavior, introducing Elevator Camera with updated camera coordinates for improved navigation, and refining reef mode activation conditions to include IS_L2 for more robust state handling. These changes deliver tangible business value by reducing operator confusion, improving situational awareness, and increasing the robustness of reef-mode transitions across the system.
May 2025
3 Commits • 2 Features
May 1, 2025May 2025 — gwhs/2025-Reefscape: Focused on stabilizing control reliability, enhancing perception through camera enhancements, and tightening reef-mode logic under L2 contexts. Key work included reversing an unintended L2 reef alignment change to restore predictable button-driven behavior, introducing Elevator Camera with updated camera coordinates for improved navigation, and refining reef mode activation conditions to include IS_L2 for more robust state handling. These changes deliver tangible business value by reducing operator confusion, improving situational awareness, and increasing the robustness of reef-mode transitions across the system.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025: Delivered core autonomous operation enhancements for gwhs/2025-Reefscape, focusing on movement efficiency, robust pose handling, and refined coral/algae scoring and intake workflows. Standardized pose access via drivetrain.getPose(), updated arm positions and end effector voltages, and tightened the perception-to-action pipeline to improve cycle times and harvest reliability. All changes are traceable to specific commits for clear performance review and future rollback.
3 Commits • 1 Features
Apr 1, 2025April 2025: Delivered core autonomous operation enhancements for gwhs/2025-Reefscape, focusing on movement efficiency, robust pose handling, and refined coral/algae scoring and intake workflows. Standardized pose access via drivetrain.getPose(), updated arm positions and end effector voltages, and tightened the perception-to-action pipeline to improve cycle times and harvest reliability. All changes are traceable to specific commits for clear performance review and future rollback.
April 2025
March 2025
6 Commits • 4 Features
Mar 1, 2025March 2025 (gwhs/2025-Reefscape): Key enhancements across localization, data integrity, logging, autonomous control, and safety. Delivered per-case distance filtering for AprilTag localization to boost single/multi-tag accuracy; fixed reef position data and reset negative offsets; modernized logging with DogLog for centralized sensor and command data; optimized autonomous pathing configurations and timing for more precise movements; strengthened climb safety controls and tuned gear ratio to improve mechanical performance. All changes deliver higher reliability, better decision quality in autonomous modes, and clearer observability for debugging and performance tracking.
March 2025
6 Commits • 4 Features
Mar 1, 2025March 2025 (gwhs/2025-Reefscape): Key enhancements across localization, data integrity, logging, autonomous control, and safety. Delivered per-case distance filtering for AprilTag localization to boost single/multi-tag accuracy; fixed reef position data and reset negative offsets; modernized logging with DogLog for centralized sensor and command data; optimized autonomous pathing configurations and timing for more precise movements; strengthened climb safety controls and tuned gear ratio to improve mechanical performance. All changes deliver higher reliability, better decision quality in autonomous modes, and clearer observability for debugging and performance tracking.
February 2025
8 Commits • 5 Features
Feb 1, 2025February 2025 monthly summary for gwhs/2025-Reefscape highlights key feature deliveries, critical bug fixes, and business impact. The work emphasizes safer operations, improved perception and data handling, remote debugging capabilities, and more robust end-effector control.
8 Commits • 5 Features
Feb 1, 2025February 2025 monthly summary for gwhs/2025-Reefscape highlights key feature deliveries, critical bug fixes, and business impact. The work emphasizes safer operations, improved perception and data handling, remote debugging capabilities, and more robust end-effector control.
February 2025
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 Monthly Summary for gwhs/2025-Reefscape: Implemented core autonomous vision and safety features that increase localization accuracy, safety, and reliability in field operations. Key deliverables include AprilTag-based pose estimation integrated with the swerve drivetrain via the AprilTagCam subsystem (with detector tuning and integration refinements to align vision measurements with DriveCommand and Elevator heights); automatic swerve neutral mode switching triggered by robot enabled/disabled state to ensure safe operation; and safety clamps for arm angle (0–360°) and elevator height (0 to top meter) to prevent unsafe motions and improve robustness. These improvements enable more reliable autonomous behavior, safer operator control, and reduced risk during mode transitions. Tech stack demonstrated: vision-based localization, sensor fusion with motion control, safety state logic, and robust parameter enforcement. Commits referenced: 3cbee0500d2c96ebfe475bbc3663da44bf1349ca; e1c34162ed450850e72cd218324ac501c68683f7; 4814106065387e55e5e4011068c25ae4c35f5549; a1539e51e99203ba30b7bcfc8bafc5156fb576cc.
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 Monthly Summary for gwhs/2025-Reefscape: Implemented core autonomous vision and safety features that increase localization accuracy, safety, and reliability in field operations. Key deliverables include AprilTag-based pose estimation integrated with the swerve drivetrain via the AprilTagCam subsystem (with detector tuning and integration refinements to align vision measurements with DriveCommand and Elevator heights); automatic swerve neutral mode switching triggered by robot enabled/disabled state to ensure safe operation; and safety clamps for arm angle (0–360°) and elevator height (0 to top meter) to prevent unsafe motions and improve robustness. These improvements enable more reliable autonomous behavior, safer operator control, and reduced risk during mode transitions. Tech stack demonstrated: vision-based localization, sensor fusion with motion control, safety state logic, and robust parameter enforcement. Commits referenced: 3cbee0500d2c96ebfe475bbc3663da44bf1349ca; e1c34162ed450850e72cd218324ac501c68683f7; 4814106065387e55e5e4011068c25ae4c35f5549; a1539e51e99203ba30b7bcfc8bafc5156fb576cc.
Activity
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Quality Metrics
Correctness82.0%
Maintainability83.6%
Architecture80.4%
Performance78.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJava
Technical Skills
Autonomous NavigationCommand-Based FrameworkCommand-Based ProgrammingCommand-based programmingComputer VisionConfigurationControl SystemsEmbedded SystemsEnum UsageJavaJava DevelopmentLoggingNetwork ConfigurationPath PlanningPhotonVision
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