Worked on stabilizing the Docker-based ROS and Gazebo development environment for the Stanford-AUV/RoboSub repository, focusing on improving reliability and reproducibility for robotics development. Addressed installation errors by correcting GPG key retrieval and repository configuration, ensuring that requirements.txt is properly sourced within the containerized setup. Leveraged skills in CI/CD, Docker, and Linux, using Shell scripting to implement targeted fixes that reduced setup time and support overhead for new contributors. Delivered these improvements through a single, well-documented commit, resulting in a more robust onboarding process and a streamlined workflow for collaborative development across the robotics software stack.