Richard Greer

The University of Texas at Austin

Papers

1

Total Citations

19

H-Index

1

About

Richard Greer is a pioneer in the integration of machine vision and teleoperation for construction and infrastructure maintenance. His foundational work centers on developing intelligent robotic systems that enhance precision and safety in hazardous or labor-intensive tasks, with a particular focus on pavement crack sealing. Greer’s most cited paper, "Path Planning for Machine Vision Assisted, Teleoperated Pavement Crack Sealer" (1998, 19 citations), introduced a novel path-planning algorithm that enables semi-autonomous navigation for robotic sealers, bridging the gap between human control and automated efficiency. This contribution has influenced subsequent advances in teleoperated systems for sewer rehabilitation, excavation, and materials handling. Greer’s research is notable for its practical impact on civil infrastructure, demonstrating how robotics can extend human capability while reducing operational risks. His work remains a touchstone for engineers developing vision-guided construction robots, and his citation record reflects sustained interest from both academic and industrial communities. Greer’s legacy lies in transforming routine but dangerous maintenance tasks into safer, more reliable automated processes.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Path Planning for Machine Vision Assisted, Teleoperated Pavement Crack Sealer
19 citations · 1998
📈 Most Prolific Year: 1998 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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