Accurately assessing the difficulty of material excavation is crucial for reducing excavator
energy consumption, ensuring operational safety, and optimizing excavator efficiency …

This survey article provides a synopsis on some of the engineering problems, technological
innovations, robotic development and automation efforts encountered in the mining industry …

We use unsupervised machine learning techniques aided by the Gaussian mixture model
(GMM) for clustering downhole data of gas hydrate reservoir in the Andaman Sea, where …

This article presents a Bayesian framework for manipulating mesh surfaces with the aim of
improving the positional integrity of the geological boundaries that they seek to represent …

For every blast pattern, zones of unique material types need to be classified before mining.
Most material types can be summarized into different kinds of ore and waste. Blocks …

The majority of sensing systems in current mining procedures are not optimized to capture
the high-fidelity inputs for perception systems. This is due to the lack of accuracy, resolution …

In mining, grade control generally focuses on blast hole sampling and the estimation of ore
control block models with little or no attention given to how the materials are being …