[HTML][HTML] Recent advancements of robotics in construction

B **ao, C Chen, X Yin - Automation in Construction, 2022 - Elsevier
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 …

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 …

A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage

PJ Chun, T Yamane, Y Maemura - Computer‐Aided Civil and …, 2022 - Wiley Online Library
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 …

Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results

T Yamane, P Chun, J Dang… - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Abstract Machine learning models have been developed to perform damage detection using
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

AO Onososen, I Musonda - Journal of engineering, design and …, 2022 - emerald.com
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 …

Deep learning-based bridge damage cause estimation from multiple images using visual question answering

T Yamane, P Chun, J Dang… - Structure and Infrastructure …, 2024 - Taylor & Francis
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 …

Employing histogram of oriented gradient to enhance concrete crack detection performance with classification algorithm and Bayesian optimization

Z Sun, E Caetano, S Pereira, C Moutinho - Engineering Failure Analysis, 2023 - Elsevier
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 …

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 …

A framework for fault detection and diagnostics of articulated collaborative robots based on hybrid series modelling of Artificial Intelligence algorithms

A Polenghi, L Cattaneo, M Macchi - Journal of Intelligent Manufacturing, 2024 - Springer
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 …

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 …