Worked on the rsx-utoronto/rsx-rover repository to refactor the Autonomous Navigation State Machine, focusing on improving the clarity and reliability of location data handling and streamlining state transitions. Leveraged Python and applied expertise in navigation systems, robotics, and state machines to remove unnecessary print statements, reducing log noise and enhancing the code’s testability. The refactor included cleaner function calls and documentation updates, ensuring the system was ready for upcoming validation cycles. This targeted engineering effort established a more maintainable codebase, laying the groundwork for robust autonomous navigation testing and future feature development within the robotics platform.