PROJECTSimulation to reality
Synthetic Data & Object Detection.
Building a synthetic-data pipeline and object detector for fallen boxes, with a ROS2 inference node in development.
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Project overview
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Build a synthetic-data pipeline in NVIDIA Isaac Sim Replicator and train a YOLO11s detector for fallen boxes, reaching 0.99 validation mAP50–95.
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Diagnose a simulation-to-real-world gap and iterate on the dataset while building a ROS2 inference node.
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Technical documentation
Project documentation will be added here.
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