
Emily Charles developed core robotics features for the frc2423/2025 repository, focusing on vision subsystem architecture, 3D pose publishing, and safety-driven control systems. She implemented foundational vision telemetry and integrated 3D pose data into NetworkTables, enabling robust perception pipelines and improved operator insight. Her work included standardizing robot model assets and introducing camera calibration data to enhance image processing accuracy. Emily also engineered safety logic for elevator and arm coordination, reducing hardware wear and improving reliability. Using Java, C++, and embedded systems expertise, she emphasized maintainability through code formatting, documentation, and asset management, delivering well-structured, testable solutions for complex robotic workflows.

Summary for 2025-03: Focused on delivering core perception enhancements and improving asset hygiene, with no reported high-severity bugs. Delivered 3D Pose publishing capabilities to NetworkTables, enabling clients to access Pose3d data alongside 2D pose, and initialized a default 3D pose at robot startup to ensure reliable startup perception. Standardized robot model assets to improve maintainability and clarity, renaming GLB files to a consistent model_X.glb format, adding elevator pose entries in RobotContainer, and cleaning up unused assets and related documentation. Added a new camera calibration data file to enhance image processing accuracy and sensor alignment, supporting more robust perception pipelines. Updated repository documentation to reflect changes and usage patterns, improving onboarding and cross-team collaboration.
Summary for 2025-03: Focused on delivering core perception enhancements and improving asset hygiene, with no reported high-severity bugs. Delivered 3D Pose publishing capabilities to NetworkTables, enabling clients to access Pose3d data alongside 2D pose, and initialized a default 3D pose at robot startup to ensure reliable startup perception. Standardized robot model assets to improve maintainability and clarity, renaming GLB files to a consistent model_X.glb format, adding elevator pose entries in RobotContainer, and cleaning up unused assets and related documentation. Added a new camera calibration data file to enhance image processing accuracy and sensor alignment, supporting more robust perception pipelines. Updated repository documentation to reflect changes and usage patterns, improving onboarding and cross-team collaboration.
February 2025 monthly summary for frc2423/2025 focused on safety-driven hardening of elevator/arm coordination, system reliability, and hardware protection. Delivered concrete safety mechanisms, improved predictability of motion, and reduced hardware wear through velocity/acceleration constraints and position-based safety logic.
February 2025 monthly summary for frc2423/2025 focused on safety-driven hardening of elevator/arm coordination, system reliability, and hardware protection. Delivered concrete safety mechanisms, improved predictability of motion, and reduced hardware wear through velocity/acceleration constraints and position-based safety logic.
January 2025 performance summary for frc2423/2025 focused on laying the groundwork for future capabilities and improving developer efficiency while stabilizing core robot controls. The month delivered foundational vision subsystem work with telemetry scaffolding, improved code quality and developer experience, and addressed a critical control behavior issue, positioning the team for faster, safer iterations and reliable operator experience.
January 2025 performance summary for frc2423/2025 focused on laying the groundwork for future capabilities and improving developer efficiency while stabilizing core robot controls. The month delivered foundational vision subsystem work with telemetry scaffolding, improved code quality and developer experience, and addressed a critical control behavior issue, positioning the team for faster, safer iterations and reliable operator experience.
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