Behzad Esmaeili
Papers
3
Total Citations
26
H-Index
3
About
Behzad Esmaeili is an emerging researcher at the forefront of construction automation and human-robot collaboration, pioneering work that bridges cutting-edge robotics with the practical realities of the construction industry. His research centers on worker-autonomy trust dynamics, examining how construction workers perceive, interact with, and develop reliance on autonomous agents and robotic teammates in increasingly automated job sites. Esmaeili's most impactful contributions explore the psychological and operational dimensions of human-robot teaming in construction. His 2025 study on physical and informational failures and their effects on worker-autonomy trust has already garnered 12 citations, signaling strong community interest in understanding the limits of human-robot collaboration. Complementing this, his 2023 investigation into responsibility attribution during collaborative bricklaying tasks — accumulating 9 citations — offers nuanced insight into how failure events shape worker confidence in robotic partners. More recently, Esmaeili has turned toward predictive modeling, exploring partial personalization techniques to anticipate and calibrate worker-robot trust at the individual level. Collectively, his work addresses a critical knowledge gap as the construction industry accelerates toward automation, providing researchers and practitioners with foundational frameworks for designing safer, more effective human-autonomy teams on tomorrow's job sites.
Research Focus
Key Achievements
Top Papers
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