JJ Green

Council for Scientific and Industrial Research

Papers

Total Citations

H-Index

About

JJ Green is a pioneering researcher in the field of mining robotics, with a particular focus on autonomous systems designed to transform safety and efficiency in South African mining operations. Working primarily within the context of low-grade narrow tabular ore bodies — a mining configuration notoriously difficult and dangerous to mechanize — Green has explored the technical potential and engineering challenges of deploying robotic systems in these demanding underground environments. His most influential work, "Robot miner for low grade narrow tabular ore bodies" (2009, 22 citations), laid important conceptual groundwork for automation in a sector historically reliant on dangerous manual labor. This was closely followed by his widely cited investigation into whether robots could meaningfully improve mine safety (2010, 20 citations), a question with profound humanitarian implications for an industry with historically high fatality rates. Green further extended his contributions through research into sensor technologies for mining robotics and computer vision techniques for detecting humans in thermal imagery — work with direct applications in underground rescue and hazard detection. Presented across international conferences spanning South Africa, Malaysia, and beyond, Green's body of work reflects a committed and practical vision for making one of the world's most hazardous occupations safer through intelligent robotics.