Colin Peel

University of Leeds

Papers

1

Total Citations

5

H-Index

1

About

Colin Peel is a researcher focused on low-cost robotics and infrastructure inspection, with a particular emphasis on leveraging off-the-shelf components for practical engineering solutions. His most cited work, "Inspection Robot with Low Cost Perception Sensing" (2016), introduces a novel approach to bridge bearing inspection by repurposing a commercial DiddyBorg robot—a Raspberry Pi-based platform—for photogrammetric surveys. This contribution demonstrates how accessible, affordable hardware can be adapted for critical structural monitoring tasks, reducing the need for expensive specialized equipment. While his citation count remains modest at five for this paper, Peel’s work highlights a growing trend in democratizing robotic inspection technologies, making them more viable for smaller-scale or resource-constrained applications. His research bridges the gap between consumer-grade robotics and industrial inspection needs, offering a replicable model for engineers and students alike. By prioritizing cost-effectiveness and simplicity, Peel’s contributions underscore the potential of minimalist robotic systems in real-world infrastructure maintenance, inspiring further exploration into frugal innovation within the field of robotics and sensing.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Inspection Robot with Low Cost Perception Sensing
5 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Leeds

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago