Scott Tanch

University of Vermont

Papers

2

Total Citations

9

H-Index

2

About

Scott Tanch is pioneering the integration of robotics, sensing, and augmented reality (AR) to transform how we maintain critical infrastructure. His research focuses on human-building interaction, structural health monitoring, and autonomous inspection systems—work that bridges the gap between human cognition and machine precision. Tanch’s most cited paper, “Indoor Infrastructure Maintenance Framework Using Networked Sensors, Robots, and Augmented Reality Human Interface” (2024, 7 citations), reimagines home maintenance as a collaborative process where homeowners and technicians interpret damage, decay, or pest signals through networked sensors and AR interfaces. This framework directly impacts sustainability by enabling proactive, data-driven repairs. In his follow-up work, “Structural Health Monitoring with Robot and Augmented Reality Teams” (2023, 2 citations), Tanch demonstrates how mobile robots can access confined or hazardous spaces—like inside walls, underground pipes, or beneath bridge decks—to collect data humans cannot easily reach. By combining robotic mobility with AR-enhanced human oversight, his research promises safer, more efficient infrastructure management. Tanch’s contributions are laying the groundwork for a future where buildings and bridges actively communicate their health, empowering smarter maintenance decisions and extending asset lifespans.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Indoor Infrastructure Maintenance Framework Using Networked Sensors, Robots, and Augmented Reality Human Interface
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Vermont

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago