
Over three months, contributed to the femaidens/2025-Reefscape robotics project by developing and refining autonomous subsystems, drive control, and perception features. Work included migrating elevator motor controllers for hardware compatibility, implementing synchronized subsystem motion, and enhancing the vision pipeline for improved pose estimation. Leveraged Java and embedded systems expertise to introduce PID-based motion control, encoder integration, and robust auto-configuration flows, while maintaining code quality through cleanup and structured testing. Further improvements focused on swerve drive tuning and real-time telemetry using SignalLogger, enabling data-driven diagnostics during teleoperation. These efforts strengthened reliability, maintainability, and field readiness across the robotics codebase.
March 2025 Monthly Summary for the Reefscape project (femaidens/2025-Reefscape). This period focused on delivering reliability and observability improvements to the drive system, with a clear emphasis on enabling data-driven decisions in teleoperation.
March 2025 Monthly Summary for the Reefscape project (femaidens/2025-Reefscape). This period focused on delivering reliability and observability improvements to the drive system, with a clear emphasis on enabling data-driven decisions in teleoperation.
February 2025 – Reefscape monthly summary for femaidens/2025-Reefscape: Focused on delivering core subsystems, improving control fidelity, and strengthening automation and test coverage. Key work prioritized reliability, maintainability, and business value by establishing a functional algae intake, robust PID-based motion control, encoder-based sensing, and a streamlined auto-configuration flow. The work also included code quality enhancements, repository hygiene, and a structured testing regimen to validate behavior across scenarios.
February 2025 – Reefscape monthly summary for femaidens/2025-Reefscape: Focused on delivering core subsystems, improving control fidelity, and strengthening automation and test coverage. Key work prioritized reliability, maintainability, and business value by establishing a functional algae intake, robust PID-based motion control, encoder-based sensing, and a streamlined auto-configuration flow. The work also included code quality enhancements, repository hygiene, and a structured testing regimen to validate behavior across scenarios.
Performance-focused monthly summary for 2025-01 (femaidens/2025-Reefscape). This month delivered core platform improvements across elevator control, vision, and swerve/kinematics, with a strong emphasis on hardware compatibility, motion synchronization, and perception reliability. Key outcomes include a controlled migration of the Elevator Motor Controller to TalonFX with a documented rollback path to SparkMax for compatibility, a new Elevator Follower Motor to enable synchronized subsystems, a critical fix in the Vision subsystem that corrected processing and improved pose estimation, and enhancements to ModuleKraken swerve/kinematics to expose state/position retrieval while applying current limits and angular offsets for more accurate drive feedback. These changes reduce integration risk, improve drive predictability, and support faster development cycles and field readiness.
Performance-focused monthly summary for 2025-01 (femaidens/2025-Reefscape). This month delivered core platform improvements across elevator control, vision, and swerve/kinematics, with a strong emphasis on hardware compatibility, motion synchronization, and perception reliability. Key outcomes include a controlled migration of the Elevator Motor Controller to TalonFX with a documented rollback path to SparkMax for compatibility, a new Elevator Follower Motor to enable synchronized subsystems, a critical fix in the Vision subsystem that corrected processing and improved pose estimation, and enhancements to ModuleKraken swerve/kinematics to expose state/position retrieval while applying current limits and angular offsets for more accurate drive feedback. These changes reduce integration risk, improve drive predictability, and support faster development cycles and field readiness.

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