[HTML][HTML] A comprehensive review of uav-ugv collaboration: Advancements and challenges

I Munasinghe, A Perera, RC Deo - Journal of Sensor and Actuator …, 2024 - mdpi.com
Unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) have rapidly
evolved, becoming integral to various applications such as environmental monitoring …

Robot-assisted mobile scanning for automated 3D reconstruction and point cloud semantic segmentation of building interiors

D Hu, VJL Gan, C Yin - Automation in Construction, 2023 - Elsevier
Scan-to-BIM technology can help construction stakeholders to obtain accurate BIM models
for building information management and construction progress monitoring. The current …

Enhancing 3D reconstruction of textureless indoor scenes with IndoReal multi-view stereo (MVS)

T Wang, VJL Gan - Automation in Construction, 2024 - Elsevier
Abstract 3D reconstruction plays a pivotal role in capturing the built environment's object
shapes and appearances for diverse smart applications, such as indoor navigation and …

A UAV-based explore-then-exploit system for autonomous indoor facility inspection and scene reconstruction

C Gao, X Wang, R Wang, Z Zhao, Y Zhai, X Chen… - Automation in …, 2023 - Elsevier
Traditional indoor facility inspections on pipelines and boilers are conducted manually and
can be logistically challenging, labor-intensive, costly, and dangerous for the inspectors …

[PDF][PDF] AI and IoT applications of smart buildings and smart environment design, construction and maintenance

K Yan, X Zhou, B Yang - Build. Environ, 2022 - researchgate.net
2 microclimate and urban morphology in a tropical city”, which is contributed by Chen et
al.[4]. The authors designed a software called ATLAS analysing the relationship between …

[HTML][HTML] A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning

M Ramezani, MA Amiri Atashgah, A Rezaee - Drones, 2024 - mdpi.com
In this paper, we introduce a fault-tolerant multi-agent reinforcement learning framework
called SERT-DQN to optimize the operations of UAVs with UGV central control in coverage …

Semantic navigation for automated robotic inspection and indoor environment quality monitoring

D Hu, VJL Gan - Automation in Construction, 2025 - Elsevier
Maintaining a comfortable indoor environment is essential for enhancing occupant well-
being. However, traditional inspection methods rely on manual input of precise coordinates …

Automated BIM-to-scan point cloud semantic segmentation using a domain adaptation network with hybrid attention and whitening (DawNet)

D Hu, VJL Gan, R Zhai - Automation in Construction, 2024 - Elsevier
Deep learning-based point cloud semantic segmentation facilitates scene understanding
and BIM modelling, but its success requires vast amount of labelled point clouds, which is …

Embodied AI for dexterity-capable construction Robots: DEXBOT framework

H You, T Zhou, Q Zhu, Y Ye, EJ Du - Advanced Engineering Informatics, 2024 - Elsevier
The construction industry is integrating robots into critical tasks at an accelerated pace, with
the aim of enhancing efficiency, safety, and productivity. However, construction tasks …

Exploration of using a wall-climbing robot system for indoor inspection in occupied buildings

L Ma, T Hartmann - Scientific Reports, 2024 - nature.com
Indoor inspection robots operating in occupied buildings need to minimize disturbance to
occupants and access high areas of a room and cramped spaces obstructed by obstacles …