Behnam M. Tehrani

University of Florida, Smile Train

Papers

7

Total Citations

73

H-Index

5

About

Behnam M. Tehrani is an emerging researcher specializing in robotics integration, industrialized construction, and human-robot collaboration, with a particular focus on bridging the persistent technology gap between manufacturing and the construction industry. His work addresses one of the sector's most pressing challenges: why construction continues to lag behind manufacturing in adopting advanced automation despite well-documented productivity benefits. Tehrani's major contributions include developing systematic frameworks for deploying robotics in offsite and panelized construction, most notably his BIM-to-BoT (B2B) framework, which streamlines the design-to-manufacturing pipeline for wood panel framing tasks. His research on the Human-in-the-Lead Construction Robotics (HiLCR) model reframes human-robot collaboration by prioritizing human oversight in dynamic construction environments, rather than assuming equal partnership. He has also pioneered the use of immersive technologies to enhance worker safety and developed computer vision and deep learning tools for automated quality control in robotic manufacturing. With over 70 cumulative citations across seven publications since 2022, Tehrani has rapidly established himself as a productive voice in construction robotics. His interdisciplinary approach, connecting building information modeling, task allocation systems, and advanced manufacturing, positions him as an important contributor to the future of smart, automated construction.

Research Focus

Key Achievements

5
H-Index
7
Papers
73
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Robotics in assembly-based industrialized construction: a narrative review and a look forward
28 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Florida, Smile Train

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago