[HTML][HTML] A comprehensive review of uav-ugv collaboration: Advancements and challenges
Unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) have rapidly
evolved, becoming integral to various applications such as environmental monitoring …
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
Scan-to-BIM technology can help construction stakeholders to obtain accurate BIM models
for building information management and construction progress monitoring. The current …
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 …
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
Traditional indoor facility inspections on pipelines and boilers are conducted manually and
can be logistically challenging, labor-intensive, costly, and dangerous for the inspectors …
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
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 …
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
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 …
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
Maintaining a comfortable indoor environment is essential for enhancing occupant well-
being. However, traditional inspection methods rely on manual input of precise coordinates …
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)
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 …
and BIM modelling, but its success requires vast amount of labelled point clouds, which is …
Embodied AI for dexterity-capable construction Robots: DEXBOT framework
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 …
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
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 …
occupants and access high areas of a room and cramped spaces obstructed by obstacles …