LATIDIA · Robótica

Clasificación de radiación mejorada por IA en ROS

arXiv:2610.25225v1 Announce Type: new Abstract: Este estudio presenta el desarrollo de dos nodos del Robot Operating System (ROS) con un enfoque principal en la diferenciación de siete isótopos radiactivos. El primer nodo, referido t

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arXiv:2610.25225v1 Announce Type: new Abstract: This study presents the development of two Robot Operating System (ROS) nodes with a primary focus on differentiating seven radioactive isotopes. The first node, referred to as the model training node, uses a Gradient Boosting classifier to identify and classify these isotopes. The classifier achieved a reported overall accuracy of 95\% on the held-out test dataset. The second node, known as the prediction node, provides classification results when users input data in CSV format. For the practical demonstration, the C12137 radiation detector module was mounted on the Jackal UGV, and an operator approached different radiation sources to collect data. To support future dataset expansion, we