Open Pit

Open-pit mining research currently focuses on improving the safety, efficiency, and autonomy of operations. Key areas include developing robust autonomous transportation systems, utilizing multi-sensor fusion and deep convolutional networks for accurate trajectory prediction and motion planning in unstructured environments, and employing advanced data analysis techniques like unsupervised clustering and Gaussian process regression to model complex equipment-environment interactions. These advancements aim to enhance productivity, reduce operational costs, and improve the overall safety of open-pit mining through improved automation and data-driven decision-making.