Robots in inspection and monitoring of buildings and infrastructure: A systematic review

S Halder, K Afsari - Applied Sciences, 2023 - mdpi.com
Regular inspection and monitoring of buildings and infrastructure, that is collectively called
the built environment in this paper, is critical. The built environment includes commercial and …

Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering

J Zhang, X Yang, W Wang, J Guan, L Ding… - Automation in …, 2023 - Elsevier
Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …

[HTML][HTML] Machine learning in construction: From shallow to deep learning

Y Xu, Y Zhou, P Sekula, L Ding - Developments in the built environment, 2021 - Elsevier
The development of artificial intelligence technology is currently bringing about new
opportunities in construction. Machine learning is a major area of interest within the field of …

A comprehensive review of coverage path planning in robotics using classical and heuristic algorithms

CS Tan, R Mohd-Mokhtar, MR Arshad - IEEE Access, 2021 - ieeexplore.ieee.org
The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …

Digital twin and its potential applications in construction industry: State-of-art review and a conceptual framework

S Su, RY Zhong, Y Jiang, J Song, Y Fu… - Advanced engineering …, 2023 - Elsevier
Through the combination of virtual and real, multi-dimensional perception, and accurate
map**, digital twin (DT) could describe the physical world in real-time and provide a …

Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry

CJ Liang, TH Le, Y Ham, BRK Mantha… - Automation in …, 2024 - Elsevier
Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

An indoor blind area-oriented autonomous robotic path planning approach using deep reinforcement learning

Y Zhou, J Yang, Z Guo, Y Shen, K Yu… - Expert Systems with …, 2024 - Elsevier
Deep reinforcement learning (DRL) provides a new solution for autonomous robotic path
planning in a known indoor environment. Previous studies mainly focused on robot path …

[HTML][HTML] Internet of robotic things for mobile robots: concepts, technologies, challenges, applications, and future directions

H Kabir, ML Tham, YC Chang - Digital Communications and Networks, 2023 - Elsevier
Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …

Reinforcement learning for robot research: A comprehensive review and open issues

T Zhang, H Mo - International Journal of Advanced Robotic …, 2021 - journals.sagepub.com
Applying the learning mechanism of natural living beings to endow intelligent robots with
humanoid perception and decision-making wisdom becomes an important force to promote …

Goal distance-based UAV path planning approach, path optimization and learning-based path estimation: GDRRT*, PSO-GDRRT* and BiLSTM-PSO-GDRRT

MF Aslan, A Durdu, K Sabanci - Applied Soft Computing, 2023 - Elsevier
The basic conditions for mobile robots to be autonomous are that the mobile robot localizes
itself in the environment and knows the geometric structure of the environment (map). After …