John Pinder

University of Central Lancashire

Papers

2

Total Citations

15

H-Index

2

About

John Pinder is a leading researcher at the intersection of autonomous systems, humanitarian demining, and human-robot interaction. His work focuses on developing intelligent, safe, and rapid solutions for detecting and clearing legacy landmines, Improvised Explosive Devices (IEDs), and Unexploded Ordnances (UXO)—a critical global challenge where traditional manual methods remain extremely hazardous and time-intensive. Pinder’s most cited paper, “Intelligent, Automated, Rapid, and Safe Landmine, Improvised Explosive Device and Unexploded Ordnance Detection Using Maggy” (2024, 12 citations), introduces a novel autonomous platform designed to map millions of buried threats efficiently, dramatically reducing human risk. He also advances telemanipulation for multi-agent systems, as seen in his work on “Platform to Test and Evaluate Human-in-the-Loop Telemanipulation Schemes for Autonomous Unmanned Aerial Systems” (2024, 3 citations), which explores remote control architectures inspired by Tesla’s early “distant operator” concept. By bridging autonomy with human oversight, Pinder’s contributions promise to transform dangerous ordnance clearance into a safer, faster, and more scalable operation, with direct implications for post-conflict recovery and civilian protection worldwide.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent, Automated, Rapid, and Safe Landmine, Improvised Explosive Device and Unexploded Ordnance Detection Using Maggy
12 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Central Lancashire

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago