Michael McGee

The University of Texas at El Paso

Papers

1

Total Citations

6

H-Index

1

About

Dr. Michael McGee is a leading researcher in the field of robotic inspection technologies, with a specific focus on the energy sector. His work centers on developing autonomous systems to enhance safety and efficiency in the maintenance of large-scale industrial structures. Dr. McGee’s major contribution is the creation of novel flight path generation algorithms for drones, which automatically derive optimal inspection routes directly from 3D CAD models. This approach was demonstrated in his highly cited 2020 case study on power plant boilers, where he showed how robotic inspection can significantly reduce human risk in hazardous environments and minimize costly equipment downtime. His research directly addresses the critical need for safer, more cost-effective maintenance in power generation. With his work garnering attention from both academia and industry, Dr. McGee is recognized for bridging the gap between advanced robotics and practical, real-world energy infrastructure challenges, making him a key figure in the push toward automated industrial inspection.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Drone Inspection Flight Path Generation from 3D CAD Models: Power Plant Boiler Case Study
6 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: The University of Texas at El Paso

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago