Advances in automation and robotics: The state of the emerging future mining industry

The mining industry is undergoing a transformative evolution driven by novel intelligent technologies to eliminate fatalities within the next two decades. The integration of automation, robotic systems, artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), drones, remote monitoring, and other intelligent systems is expected to significantly improve safety, efficiency, and sustainability. Autonomous vehicles, equipped with sensors and navigation systems enable continuous operation in hazardous environments while reducing the risk of accidents and injuries. These intelligent systems are vital in preventing, managing, and responding to mine accidents and emergencies. They enhance precision and reliability in drilling, excavation, and material handling, leading to higher productivity. These technologies contribute to a safer mining industry by improving risk management, expediting emergency responses, and reducing the frequency and severity of mine accidents. This paper provides a comprehensive review of the recent developments and applications of intelligent systems within the mining sector. The paper also demonstrates how these novel intelligent systems would shape the mining industry of the future. The main novelty of the paper includes the exploration of the benefits, challenges, and prospects associated with the adoption of these intelligent systems in the mining industry of the future.

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Publication Details

Journal
Journal of Safety and Sustainability
Published
2025-05-29
DOI
https://doi.org/10.1016/j.jsasus.2025.05.003
Citations
10
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
12.15

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article

Advances in automation and robotics: The state of the emerging future mining industry

Samuel Frimpong, Mabel Obosu
10 citations
Journal of Safety and Sustainability
Mining Techniques and Economics
12.15
article

Advances in automation and robotics: The state of the emerging future mining industry

Samuel Frimpong, Mabel Obosu
article en
10 citations

Abstract

The mining industry is undergoing a transformative evolution driven by novel intelligent technologies to eliminate fatalities within the next two decades. The integration of automation, robotic systems, artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), drones, remote monitoring, and other intelligent systems is expected to significantly improve safety, efficiency, and sustainability. Autonomous vehicles, equipped with sensors and navigation systems enable continuous operation in hazardous environments while reducing the risk of accidents and injuries. These intelligent systems are vital in preventing, managing, and responding to mine accidents and emergencies. They enhance precision and reliability in drilling, excavation, and material handling, leading to higher productivity. These technologies contribute to a safer mining industry by improving risk management, expediting emergency responses, and reducing the frequency and severity of mine accidents. This paper provides a comprehensive review of the recent developments and applications of intelligent systems within the mining sector. The paper also demonstrates how these novel intelligent systems would shape the mining industry of the future. The main novelty of the paper includes the exploration of the benefits, challenges, and prospects associated with the adoption of these intelligent systems in the mining industry of the future.

Journal of Safety and SustainabilityVol. 2(3)
Missouri University of Science and Technology (US)
Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health
Industry, innovation and infrastructure
Openalex Percentile: Top 1%
Mining Techniques and Economics
12.15
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Advances in automation and robotics: The state of the emerging future mining industry — Samuel Frimpong, Mabel Obosu · Journal of Safety and Sustainability (2025) | TGRS Research Map | TGRS