138 citations · 154 across the 9 of their papers we have counts for
9 papers
Ergonomic Optimization in Worker-Robot Bimanual Object Handover: Implementing REBA Using Reinforcement Learning in Virtual Reality
Mani Amani, Reza Akhavian
Robots can serve as safety catalysts on construction job sites by taking over hazardous and repetitive tasks while alleviating the risks associated with existing manual workflows.…
Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception
Riley Tavassoli, Mani Amani, Reza Akhavian
Vision-language models (VLMs) have shown powerful capabilities in visual question answering and reasoning tasks by combining visual representations with the abstract skill set larg…
Trust in Construction AI-Powered Collaborative Robots: A Qualitative Empirical Analysis
Newsha Emaminejad, Reza Akhavian, Ph. D
Construction technology researchers and forward-thinking companies are experimenting with collaborative robots (aka cobots), powered by artificial intelligence (AI), to explore var…
Robust Activity Recognition for Adaptive Worker-Robot Interaction using Transfer Learning
Farid Shahnavaz, Riley Tavassoli, Reza Akhavian
Human activity recognition (HAR) using machine learning has shown tremendous promise in detecting construction workers' activities. HAR has many applications in human-robot interac…
Assessing Trust in Construction AI-Powered Collaborative Robots using Structural Equation Modeling
Newsha Emaminejad, Lisa Kath, Reza Akhavian
This study aimed to investigate the key technical and psychological factors that impact the architecture, engineering, and construction (AEC) professionals' trust in collaborative…
Trust in AI and Implications for the AEC Research: A Literature Analysis
Newsha Emaminejad, Alexa Maria North, Reza Akhavian
Engendering trust in technically acceptable and psychologically embraceable systems requires domain-specific research to capture unique characteristics of the field of application.…
Automated Workers Ergonomic Risk Assessment in Manual Material Handling using sEMG Wearable Sensors and Machine Learning
Srimantha E. Mudiyanselage, Phuong H. D. Nguyen, Mohammad Sadra Rajabi +1
Manual material handling tasks have the potential to be highly unsafe from an ergonomic viewpoint. Safety inspections to monitor body postures can help mitigate ergonomic risks of…
Automated Estimation of Construction Equipment Emission using Inertial Sensors and Machine Learning Models
Farid Shahnavaz, Reza Akhavian
The construction industry is one of the main producers of greenhouse gasses (GHG). Quantifying the amount of air pollutants including GHG emissions during a construction project ha…
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials
Newsha Emaminejad, Reza Akhavian
Human-technology interaction deals with trust as an inevitable requirement for user acceptance. As the applications of artificial intelligence (AI) and robotics emerge and with the…