Papers

1

Total Citations

4

H-Index

1

About

Andrew D. Strange is a researcher focused on advancing automation and safety in the mining industry, with a particular emphasis on geophysical sensing technologies. His key research areas include ground penetrating radar (GPR) applications, 3D robotic imaging, and automated mining systems. Strange’s most notable contribution is his work on 3D robotic imaging of coal seams using GPR technology, which addresses critical challenges in underground mining by enhancing the reliability of subsurface sensing. This research directly supports the long-term industry goal of fully automated mining, aiming to improve personnel safety and operational productivity. His 2016 paper on this topic has garnered attention as a foundational reference in the field, accumulating 4 citations and highlighting the growing interest in integrating robotics with geophysical methods. Strange’s work is particularly significant for its practical implications, offering a pathway to more precise coal seam mapping that can reduce risks for miners while boosting efficiency. By tackling the limitations of current automation capability, his contributions are helping to shape the next generation of intelligent mining systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
3D robotic imaging of coal seams using ground penetrating radar technology
4 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Commonwealth Scientific and Industrial Research Organisation

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago