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[HTML][HTML] Recent advancements of robotics in construction
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 …
research field that integrates a large number of urgent technologies (eg, additive …
Lunar shelter construction issues: The state-of-the-art towards 3D printing technologies
S Ulubeyli - Acta astronautica, 2022 - Elsevier
The next step for the exploration of space seems to require the human participation by
means of a long-lasting lunar outpost. Therefore, this paper attempts to review the up-to-date …
means of a long-lasting lunar outpost. Therefore, this paper attempts to review the up-to-date …
A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage
Photographs of bridges can reveal considerable technical information such as the part of the
structure that is damaged and the type of damage. Maintenance and inspection engineers …
structure that is damaged and the type of damage. Maintenance and inspection engineers …
Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results
Abstract Machine learning models have been developed to perform damage detection using
images to improve bridge inspection efficiency. However, in damage detection using images …
images to improve bridge inspection efficiency. However, in damage detection using images …
Research focus for construction robotics and human-robot teams towards resilience in construction: scientometric review
Purpose Rapid urbanisation and recent shock events have reiterated the need for resilient
infrastructure, as seen in the pandemic. Yet, knowledge gaps in construction robotics and …
infrastructure, as seen in the pandemic. Yet, knowledge gaps in construction robotics and …
Deep learning-based bridge damage cause estimation from multiple images using visual question answering
This paper presents a framework for estimating the cause of damage to bridge members by
combining Structure from Motion (SfM) and Visual Question Answering (VQA) techniques. A …
combining Structure from Motion (SfM) and Visual Question Answering (VQA) techniques. A …
Employing histogram of oriented gradient to enhance concrete crack detection performance with classification algorithm and Bayesian optimization
This paper develops a crack detection method for concrete bridges using a binary
classification algorithm, which utilizes the histogram of oriented gradient (HOG) feature to …
classification algorithm, which utilizes the histogram of oriented gradient (HOG) feature to …
Unmanned aircraft path planning for construction safety inspections
L Yu, MM Huang, S Jiang, C Wang, M Wu - Automation in Construction, 2023 - Elsevier
With its flexible and convenient features, the Unmanned Aircraft System (UAS) provides an
efficient platform for safety inspections in hazardous areas. Yet sparse studies have …
efficient platform for safety inspections in hazardous areas. Yet sparse studies have …
A framework for fault detection and diagnostics of articulated collaborative robots based on hybrid series modelling of Artificial Intelligence algorithms
Smart factories build on cyber-physical systems as one of the most promising technological
concepts. Within smart factories, condition-based and predictive maintenance are key …
concepts. Within smart factories, condition-based and predictive maintenance are key …
Robotics in the construction sector: Trends, advances, and challenges
Y Liu, A AH, NA Haron, B NA, H Wang - Journal of Intelligent & Robotic …, 2024 - Springer
Construction robots employ cutting-edge technology to perform tasks more accurately than
traditional construction workers, producing higher-quality results and fewer mistakes …
traditional construction workers, producing higher-quality results and fewer mistakes …