
Contributed to the UBC-Snowbots/RoverFlake2 repository by developing a YOLOv8-based object detection system integrated into a ROS2 node, enabling real-time inference on video frames with bounding box visualization and publishing of processed results. This work involved creating a dedicated ROS2 package in Python, implementing a complete detection pipeline from frame capture to annotated output on ROS2 topics. Additionally, improved repository maintainability by updating Git configuration, specifically refining the .gitignore file and removing editor-specific directories to prevent environment drift. These contributions enhanced the rover’s perception capabilities while streamlining onboarding and reducing configuration conflicts across development environments.
February 2025, UBC-Snowbots/RoverFlake2: Delivered key perception enhancement and repository hygiene improvements. Added object detection capability by integrating YOLOv8 into a ROS2 node, including a new package, real-time inference on video frames, visualization with bounding boxes and labels, and publishing processed frames. Completed Editor Configuration Cleanup to prevent IDE/editor settings from leaking into the repo by updating .gitignore to exclude .vscode and removing the .vscode directory. These work items improve rover autonomy capabilities while reducing environment drift and onboarding friction.
February 2025, UBC-Snowbots/RoverFlake2: Delivered key perception enhancement and repository hygiene improvements. Added object detection capability by integrating YOLOv8 into a ROS2 node, including a new package, real-time inference on video frames, visualization with bounding boxes and labels, and publishing processed frames. Completed Editor Configuration Cleanup to prevent IDE/editor settings from leaking into the repo by updating .gitignore to exclude .vscode and removing the .vscode directory. These work items improve rover autonomy capabilities while reducing environment drift and onboarding friction.

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