Johan Larsson

Atlas Copco (Sweden)

Papers

2

Total Citations

23

H-Index

2

About

Johan Larsson is a leading researcher in the field of mining robotics, with a primary focus on the automation and unmanned operation of heavy machinery in hazardous underground environments. His work addresses the critical challenge of removing human operators from dangerous ore extraction areas, thereby enhancing safety and efficiency in mining operations. Larsson’s major contributions include pioneering the development of control systems for load-haul-dump (LHD) vehicles, a cornerstone of modern automated mining. His 2011 paper, "Unmanned operation of load-haul-dump vehicles in mining environments," with 13 citations, established foundational principles for teleoperation and autonomous navigation in confined, dusty, and GPS-denied spaces. Building on this, his 2016 study, "Admittance Control for Robotic Loading: Underground Field Trials with an LHD" (10 citations), demonstrated real-world validation of compliant control strategies for robotic loading, significantly advancing the practicality of autonomous excavation. Through these field trials, Larsson has proven that robotic systems can match or exceed human performance in loading tasks, directly impacting the mining industry's shift toward fully automated operations. His work is essential reading for anyone interested in robotics, automation, or the future of safe, sustainable mining.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Unmanned operation of load-haul-dump vehicles in mining environments
13 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Atlas Copco (Sweden)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago