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Robots in inspection and monitoring of buildings and infrastructure: A systematic review
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 …
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
Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …
widely used recently to solve various engineering problems in logistics, manufacturing, and …
[HTML][HTML] Machine learning in construction: From shallow to deep learning
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 …
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
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 …
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
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 …
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
Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …
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 …
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
Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …
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 …
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
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 …
itself in the environment and knows the geometric structure of the environment (map). After …