In the past two decades, robotics in construction (RiC) has become an interdisciplinary
research field that integrates a large number of urgent technologies (eg, additive …

Deep learning is a new area of machine learning research. Deep learning technology
applies the nonlinear and advanced transformation of model abstraction into a large …

In recent years, the construction industry has experienced an expansion in the multitude of
projects and emergent information. With the advent of deep learning, new opportunities …

The working standard of shared office spaces has evolved in recent years. Due to the
ongoing COVID-19 pandemic, many companies have instituted work from home (WFH) …

This paper presents findings of delamination detection using infrared thermography (IRT) in
five in-service bridges using an unmanned aerial vehicle system. The authors have used …

As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …

Structural health monitoring (SHM) is the automation of the condition assessment process of
an engineered system. When applied to geometrically large components or structures, such …

This paper presents a framework for automated defect inspection of the concrete structures,
made up of data collection, defect detection, scene reconstruction, defect assessment and …

Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

Structural Health Monitoring (SHM) of civil structures has been constantly evolving with
novel methods, advancements in data science, and more accessible technology to address …