
During this period, contributed to the ihmcrobotics/ihmc-open-robotics-software repository by enhancing object detection capabilities within the ihmc-perception module. The work centered on integrating new YOLO models, expanding the system’s computer vision coverage and supporting future model updates. Leveraging machine learning techniques, the enhancement included adding ONNX model assets and implementing a YAML-based mapping for class names, enabling more flexible and maintainable detection pipelines. The approach focused on modularity and ease of future extension, with all changes delivered through a single feature commit. No bug fixes were recorded, reflecting a targeted effort on feature development using YAML and ONNX technologies.
Month: 2025-08 — This period focused on expanding the perception capabilities in ihmc-open-robotics-software by delivering a YOLO-based object detection enhancement with new models. The work tightens model coverage and supports future updates by adding ONNX model assets and a YAML-based class-names mapping for detected objects within the ihmc-perception module. The change is implemented via commit 09470c54ccfb5472900826d2069b3ba0ede4215f (added the last YOLO models to develop).
Month: 2025-08 — This period focused on expanding the perception capabilities in ihmc-open-robotics-software by delivering a YOLO-based object detection enhancement with new models. The work tightens model coverage and supports future updates by adding ONNX model assets and a YAML-based class-names mapping for detected objects within the ihmc-perception module. The change is implemented via commit 09470c54ccfb5472900826d2069b3ba0ede4215f (added the last YOLO models to develop).

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