Deep learning technology for construction machinery and robotics

K You, C Zhou, L Ding - Automation in construction, 2023 - Elsevier
Construction machinery and robots are essential equipment for major infrastructure. The
application of deep learning technology can improve the construction quality and alleviate …

A novel visible-depth-thermal image dataset of salient object detection for robotic visual perception

K Song, J Wang, Y Bao, L Huang… - IEEE/ASME Transactions …, 2022 - ieeexplore.ieee.org
Visual perception plays an important role in industrial information field, especially in robotic
grasping application. In order to detect the object to be grasped quickly and accurately …

Construction robotics and human–robot teams research methods

AO Onososen, I Musonda, M Ramabodu - Buildings, 2022 - mdpi.com
Though studies in construction robotics and human–robot teams research have explored
varying themes, an in-depth study of the state-of-the-art of methodological paradigms …

BIM-based indoor mobile robot initialization for construction automation using object detection

X Zhao, CC Cheah - Automation in Construction, 2023 - Elsevier
In recent years, there has been increasing interest in robotic solutions to revolutionize the
conventional construction industry. Despite various advances in developing mobile robotic …

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 reinforcement learning for real-time assembly planning in robot-based prefabricated construction

A Zhu, T Dai, G Xu, P Pauwels… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The adoption of robotics is promising to improve the efficiency, quality, and safety of
prefabricated construction. Besides technologies that improve the capability of a single …

Platform-independent visual installation progress monitoring for construction automation

X Zhao, Y Jin, NM Selvaraj, M Ilyas… - Automation in Construction, 2023 - Elsevier
Efficient interior progress monitoring is crucial for the timely completion of construction
projects. Although robots have been used for data acquisition to automate interior progress …

Remote sensing object detection based on convolution and Swin transformer

X Jiang, Y Wu - IEEE Access, 2023 - ieeexplore.ieee.org
Remote sensing object detection is an essential task for surveying the earth. It is challenging
for the target detection algorithm in natural scenes to obtain satisfactory detection results in …

Smart contract generation and visualization for construction business process collaboration and automation: Upgraded workflow engine

X Ye, N Zeng, X Tao, D Han, M König - Journal of Computing in …, 2024 - ascelibrary.org
With the digital transformation of the construction industry, the need to improve construction
business process collaboration and automation is increasing. However, as construction …

Deep learning-based cow tail detection and tracking for precision livestock farming

X Huang, Z Hu, Y Qiao… - IEEE/ASME Transactions …, 2022 - ieeexplore.ieee.org
Cow tail detection and tracking in videos provide valuable information for individual
identification, calving process, behavior analysis, and body condition monitoring. Although …