Papers

2

Total Citations

305

H-Index

2

About

Gregory R. Miller is a leading researcher in the field of robotic infrastructure inspection, with a primary focus on developing autonomous systems to enhance the safety, efficiency, and cost-effectiveness of structural assessments. His major contributions lie in advancing robotic platforms and computer vision techniques for inspecting critical civil infrastructure, such as bridges. Miller’s most-cited work, “Review of Robotic Infrastructure Inspection Systems” (2017), with 259 citations, provides a comprehensive synthesis of robotic technologies aimed at minimizing the risks and disruptions of manual inspections, establishing a foundational reference for the field. His influential study “3D Scene Reconstruction for Robotic Bridge Inspection” (2014, 46 citations) compares dense structure from motion and image-based methods for creating three-dimensional models from monocular images, directly enabling more accurate and automated bridge evaluations. Through these contributions, Miller has demonstrated how robotics and computer vision can transform infrastructure maintenance, reducing human exposure to hazardous environments. His work continues to inspire researchers and engineers seeking to deploy intelligent, cost-saving inspection solutions, marking him as a pivotal figure in the convergence of robotics and civil engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
305
Total Citations
153
Avg Citations/Paper
🏆 Most Cited Paper
Review of Robotic Infrastructure Inspection Systems
259 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Washington Applied Physics Laboratory, University of Washington

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago