
Worked on the FRC7902/Reefscape2025 repository to enhance autonomous robot control by tuning path planning parameters and refactoring autonomous path configurations. Focused on improving trajectory accuracy and stability through adjustments to maximum acceleration, velocity, and PID control gains, while also updating timing constraints for more responsive autonomous routines. Reorganized and renamed autonomous paths, introducing a clearer folder structure to streamline configuration and file management. Leveraged Java and JSON to implement these changes, emphasizing maintainability and faster iteration. The work integrated autonomous path generation, path planning, and configuration management to deliver more reliable and maintainable autonomous operation for robotics applications.
March 2025 performance summary for FRC7902/Reefscape2025: Delivered significant autonomous control improvements focusing on path planning tuning and path configuration refactor to boost trajectory accuracy, stability, and maintainability of autonomous routines. Result: more reliable autonomous operation, faster iteration, and clearer code organization.
March 2025 performance summary for FRC7902/Reefscape2025: Delivered significant autonomous control improvements focusing on path planning tuning and path configuration refactor to boost trajectory accuracy, stability, and maintainability of autonomous routines. Result: more reliable autonomous operation, faster iteration, and clearer code organization.

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