December 2025 performance summary for itu-auv/auv-software. The team delivered targeted improvements focused on reliability, docking robustness, and maintainability. Key outcomes include forking the ultralytics_ros dependency source to our fork to ensure reliable builds, adding an ArUco-based docking station pose estimation script with multiple markers (including topic adjustments and cleanup of obsolete components), and enhancements to YAML formatting and configuration readability via a pre-commit formatter to improve CI/CD reliability. Major bugs fixed included cleanup of obsolete docking station/ArUco components and corrections to image topic subscriptions to align with the new pose estimation workflow. Overall impact: more stable deployments, improved docking accuracy, and reduced maintenance burden, enabling faster iteration and safer autonomous operations. Technologies/skills demonstrated: ROS-based perception and control, ArUco marker-based localization, dependency management via forks, pre-commit tooling, YAML formatting, and CI/CD workflow improvements.