During July 2025, Karalu Lu focused on improving reliability and onboarding for the RoboVerseOrg/RoboVerse repository. She addressed two key bugs by enhancing dependency management and refining documentation. Using Python and Markdown, she wrapped the Mujoco viewer import in a try-except block, allowing the simulation environment to handle missing optional dependencies gracefully and reducing runtime errors in CI and headless setups. Additionally, she updated FastTD3 setup and training instructions, correcting navigation and command paths to streamline the onboarding process. Her work emphasized maintainability and user clarity, resulting in smoother setup experiences and more robust code and documentation for new users.