Arghya Mehedi enhanced the ihmc-open-robotics-software repository by developing a YOLO-based object detection feature for the ihmc-perception module. He integrated new ONNX model assets and implemented a YAML-based mapping for class names, expanding the system’s perception capabilities and supporting future model updates. His work focused on computer vision and machine learning, leveraging YAML for configuration and model management. The enhancement improved object detection coverage by introducing the latest YOLO models, ensuring the module can recognize a broader range of objects. Over the month, Arghya’s contribution was focused and technically deep, addressing a specific need without involving bug fixes.