Worked on the ROBOTIS-GIT/ai_worker_website repository to enhance autonomous robot testing workflows by integrating Nav2 with Gazebo, enabling end-to-end validation and mapping in simulated environments. Leveraged Python and ROS to implement the navigation system enhancement, focusing on reliable simulation and AI integration for robotics applications. Addressed documentation accuracy by correcting the teleoperation command naming in the Navigation AI Worker documentation, reducing potential misconfigurations for developers. The work combined robotics simulation, AI integration, and clear documentation practices, resulting in improved testing reliability and a stronger foundation for autonomous navigation capabilities within the project’s development and validation processes.