Pooya Adami

About

Pooya Adami is a leading researcher at the intersection of construction robotics, human-robot interaction (HRI), and virtual reality (VR)-based training. His work addresses critical safety and adoption challenges posed by deploying robots in dynamic, unstructured construction environments. Adami’s major contributions include demonstrating the effectiveness of VR training for improving construction workers’ knowledge, skills, and safety behavior in robotic teleoperation—a finding from his most-cited paper (2021, 202 citations). He further advanced the field by comparing VR training outcomes between construction workers and university students, revealing that participant background significantly influences learning and trust in robots (2022, 47 citations). Adami also developed a multidimensional taxonomy for HRI in construction (2023, 45 citations), providing a foundational framework for categorizing and improving robot-worker interactions. His work has been instrumental in shaping safer, more efficient human-robot collaboration on construction sites, with cumulative citations exceeding 380. By bridging VR technology, robotics, and workforce development, Adami’s research offers practical pathways for integrating automation while prioritizing worker safety and trust.

Research Focus

Key Achievements

Top Papers

1. 1
   Effectiveness of VR-based training on improving construction workers’ knowledge, skills, and safety behavior in robotic teleoperation

   202 citations · 2021
2. 2
   Impact of VR-Based Training on Human–Robot Interaction for Remote Operating Construction Robots

   88 citations · 2022
3. 3
   Participants matter: Effectiveness of VR-based training on the knowledge, trust in the robot, and self-efficacy of construction workers and university students

   47 citations · 2022
4. 4
   A multidimensional taxonomy for human-robot interaction in construction

   45 citations · 2023

Key Collaborators

Contact & Links