Dryver R. Huston
Papers
11
Total Citations
91
H-Index
7
About
Dryver R. Huston is a pioneering researcher whose work sits at the intersection of structural health monitoring, robotics, and adaptive sensing systems. Over more than two decades, Huston has advanced the field of infrastructure assessment by developing innovative wireless, robotic, and mobile sensor platforms designed to overcome the safety and accessibility limitations of human-led inspections. His early contributions established foundational frameworks for adaptive sensor networks capable of monitoring large-scale civil structures such as bridges, dams, and pipelines across challenging spatial and temporal scales. Huston's research has consistently pushed toward greater autonomy and intelligence in sensing systems, evolving from wireless inspection robots and homeland security platforms to cutting-edge microrobots like the bristle-bot MARSBot, which integrates augmented reality steering and wireless structural health monitoring. More recently, his work has embraced augmented reality human interfaces, Building Information Modeling integration, and edge-computing-powered autonomous ground-penetrating radar. With cumulative citations spanning foundational papers from 2001 through transformative 2024 publications, Huston's body of work reflects both sustained scholarly impact and an impressive ability to anticipate the trajectory of smart infrastructure technology. His research offers invaluable resources for students and engineers working at the frontier of intelligent structural assessment.
Research Focus
Key Achievements
Top Papers
- 1<title>Wireless inspection of structures aided by robots</title>22 citations · 2001
- 2Adaptive, robotic, and mobile sensor systems for structural assessment15 citations · 2004
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- 4<title>Robotic systems for homeland security</title>9 citations · 2004
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- 6Adaptive sensors and sensor networks for structural health monitoring8 citations · 2001
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- 10STRUCTURAL HEALTH MONITORING WITH ROBOT AND AUGMENTED REALITY TEAMS2 citations · 2023