Zozelian developed hardware control features for the TeamXbot2025 repository, focusing on reliable lighting automation within an embedded robotics system. Using Java and leveraging skills in embedded systems and hardware configuration, Zozelian implemented a Lights control subsystem that manages digital output channels, enabling precise set and get operations for light states. The work included comprehensive test coverage to validate DIO control logic, ensuring robust and maintainable integration. Additionally, Zozelian corrected DIO mappings for the Algae Arm Bottom Sensor and multiple lights, addressing hardware assignment issues and reducing wiring risks. This work improved the reliability and maintainability of the robot’s electrical subsystem.