The International Association for Automation and Robotics in Construction
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Abstract: The International Association for Automation and Robotics in Construction (IAARC) and the Local Organizing Committee are pleased to present the Proceedings of the 42nd International Symposium on Automation and Robotics in Construction (ISARC 2025). This year's symposium draws inspiration from the vibrant spirit and cultural diversity of its host cityMontreal, ...
Abstract: Moisture damage in roofing systems poses a significant challenge to building operation and maintenance, with far-reaching implications for energy efficiency, structural integrity, health, safety, and sustainability. This study introduces GPR-former, a novel transformer-based architecture designed to leverage spatial context in ground-penetrating radar (GPR) data, enhancing the accuracy of moisture detection. ...
Abstract: Cable-Driven Parallel Robots (CDPRs) are highly suitable for automated panelized building retrofits, thanks to their compact footprint and high payload-to-weight ratio. A common CDPR configuration featuring eight cables, where the anchors form a rectangular prism in front of the building facade, offers a large wrench feasible workspace and good control ...
Abstract: Worker-robot collaboration (WRC) can enhance the efficiency and performance of construction robots in complex tasks and dynamic environments. The behavioral decision-making capabilities of robots are critical for them to effectively interact and collaborate with workers. This research presents a behavioral decision-making method for automatic construction robots. First, a semantic world ...
Abstract: In construction, most existing research on rebar placement focuses on guardrail system for large-scale planar slabs or multi robot arm system for off-site rebar cage assembly, frequently utilizing gantry systems. However, their substantial setup time and spatial requirements greatly reduce their suitability for smaller-scale or more spatially constrained settings. This ...
Abstract: Robotic timber assembly applications, such as nailing, often require the simultaneous execution of multiple tasks, necessitating the use of multiple devices and large working spaces. This poses a challenge for the development of transportable robotic manufacturing cells, which aim to bring the benefits of controlled environments closer to construction sites. ...
Abstract: Image-based indoor localization is a promising approach to enhancing facility management efficiency. However, ensuring localization accuracy and improving data accessibility remain key challenges. Therefore, this research aims to automatedly localize images captured during facility inspections by matching the viewpoint of the camera with a corresponding viewpoint in a Building Information ...
Abstract: Traditional roof inspection methods rely heavily on manual labour, which poses challenges in efficiency and safety. In this paper, we propose an overall approach and 4 specific methods for slate detection in orthophotos of building roof panels, using edge detection by Canny detector (Method 1), SAM (Segment Anything Model) (Method ...
Abstract: While structural analysis software facilitates the modeling of complex structures, it requires significant effort to master these tools. With advancements in large language models (LLMs), this study explores the potential of leveraging an LLM as a software-independent assistant for reviewing and editing structural analytical models. The proposed framework was tested ...
Abstract: Occupational exoskeletons (OEs) offer significant potential to reduce the incidence and severity of musculoskeletal disorders (MSDs) in the construction industry. Despite this potential, OE adoption remains low due to unique challenges in this industry. By addressing the limitations of previous OE adoption frameworks and roadmaps, this paper proposes a framework ...
Abstract: Suboptimal cognitive states among construction workers significantly impact safety and productivity, with mental workload playing a key role in triggering these states. Determining if the mental workload fluctuation is leading to an error is challenging as the relationship between mental workload and suboptimal cognitive states is complex and non-linear, with ...
Abstract: This paper proposes a PTZ (Pan-Tilt-Zoom) camera-based solution to enhance construction site safety, particularly for small to medium scale projects and those in the early or late stages of development. Traditional sensor-based methods often face challenges related to cost, installation time, and adaptability, limiting their suitability for dynamic construction environments. ...
Abstract: The study proposed a real-time sensor-based hand gesture signal classification framework to address communication challenges between signalmen and crane operators on construction sites. The system collects data from a 3-axis accelerator, 3-axis gyroscope, and three flex sensors installed on gloves to recognize and predict dynamic hand signals. A dedicated data ...
Abstract: This study presents a novel approach for optimizing the flight paths of multiple drones during construction site inspection and monitoring by leveraging image compression techniques, specifically the fractal quadtree method. Traditional path planning methods often fail to account for varying levels of complexity across the construction site, leading to inefficiencies ...
Abstract: Placing concrete using a truck-mounted pump is a common construction method, enabling pouring of large volumes of concrete in a highly efficient way. However, the method is associated with unfavorable working conditions due to the need for manual handling of the end-hose. The hose-man are exposed to hazardous and poor ...
Abstract: Highway work zones present hazardous conditions where worker safety is at constant risk due to interactions with construction equipment. In such environments, accurately defining hazard zones around equipment is vital for timely detection and prevention of incidents. Traditional static hazard zone models, often relying on simple geometric shapes, fall short ...
Abstract: In construction automation, several tasks such as surface finishing, material transport, and inspections typically rely on labor-intensive manual methods, which are inefficient, susceptible to human error, and expose workers to hazardous conditions. Drones have emerged as a solution to automate these processes, but maintaining precise navigation and stable attitude control ...
Abstract: Deconstruction for resource recovery offers a sustainable alternative to traditional demolition practices. However, deconstruction remains laborintensive and time-consuming compared to demolition of buildings. This study proposes a novel framework that integrates Building Information Modeling (BIM) with robotic systems to automate the recovery of building components. The BIM file is converted ...
Abstract: The construction industry faces labor shortages due to an aging workforce, driving the need for construction automation to boost productivity. Despite recent advances in construction robotics in Japan, the complexity of construction tasks requires coordinated operations among multiple robots. This necessitates not only advanced automation but also a sophisticated planning ...
Abstract: The automation of construction vehicles and digitization using building information modeling (BIM) are currently two of the most popular research topics in the area of construction. This work combines the two areas by utilizing the information from a BIM model to enable a vehicle to localize and navigate through a ...
Abstract: This case study examines the use of underwater robotic systems to assess cofferdam support faces prior to refurbishment. The inspection process employs a suite of specialized equipment, including a surface preparation robot, geometry measurement tools, and non-destructive testing (NDT) technologies for concrete delamination detection. The integration of these technologies enhances ...
Abstract: Tower cranes are essential in the construction industry and play a critical role in lifting and transporting materials. Despite significant advancements in the construction industry, a comprehensive framework for simulating tower crane operations and an Actions Management Node (AMN) to coordinate these operations effectively are currently lacking. This research presents ...
Abstract: Infrastructure inspection requires balancing coverage and detail for effective assessment. This paper presents a multi-robot inspection system combining aerial and ground platforms through a hierarchical approach. A hexacopter drone performs rapid site mapping, while specialized ground robots (hexapod and tracked variants) conduct detailed inspections. The system implements bidirectional learning where ...
Abstract: Rebar tying is a critical yet time-consuming process in construction, often criticized by high labor intensity, repetitive motions, and low efficiency. These challenges have led to the development of rebar tying robots, which offer a promising solution to automate and enhance the process. However, existing rebar tying robots are unable ...
Abstract: Robotic manipulation is a promising technology that has the potential to further automate construction tasks such as bricklaying, concrete printing, or crane assembly of prefabricated components. With the increasing complexity of modern construction projects, more sophisticated planning algorithms are needed to optimize the efficiency of robotic manipulator operations. Reinforcement learning ...
Abstract: This paper presents a robotic system developed to enhance automation in construction workflows through advanced AI and computer vision technologies. The system integrates a robotic arm with a 3D point cloud camera and state-of-the-art 2D pre-trained Deep Learning models, such as GroundingDINO and SegmentAnything, to detect and segment construction elements ...
Abstract: Ensuring the proper use of personal protective equipment (PPE), particularly helmets, is crucial for enhancing safety on construction sites. This study proposes a novel approach for detecting helmet usage and worker states using ultra-wideband (UWB) localization sensors combined with machine learning algorithms. Unlike traditional sensor-based or image based systems, the ...
Abstract: Rebar tying is a time-consuming and labor intensive process that involves repetitive bending and hand motions to secure rebar with wire, often leading to muscular and skeletal injuries. To address these challenges, rebar tying robots have been developed to automate the process. However, existing studies primarily focus on tying point ...
Abstract: Robotic systems for inspection have advanced significantly in construction. Hexapod robots offer unique advantages for navigating complex construction terrains, yet their performance on sloped and irregular surfaces is hindered by limitations in existing control strategies. . In this work, we present an integrated control framework that combines a dynamically tuned ...
Abstract: In the construction industry, achieving high standards in surface finishing is essential for structural integrity and aesthetic quality, yet traditional inspection methods can be slow and miss subtle defects. This paper introduces a drone-based system that utilizes advanced sensor processing for automated surface quality assessment in construction finishing tasks. The ...
Abstract: This study presents the development and evaluation of a hydraulic excavator equipped with a built-in angular velocity controller to improve the precision of excavation operations. By integrating a velocity control system that takes into account the characteristics of the hydraulic system, the proposed approach enhances the path-tracking accuracy of the ...
Abstract: Advancing the adaptivity of autonomous mobile robots (AMRs), particularly empowering them to align with human expertise and learn from past experiences to infer optimal decisions in response to changing task demands and dynamic environment, is critical for their application in modular construction automation and reducing operational carbon footprints. Although a ...
Abstract: This paper evaluates the applicability of an autonomous driving dumper for a construction project. Conducted as part of a joint lecture between Stanford University and the Technical University of Munich in 2024, this study provides students with hands-on experience in field assessments of construction robotics. The dumper, developed in partnership ...
Abstract: This study introduces a novel prioritized coverage path planning method that combines the efficiency of Large Language Models (LLMs) with traditional optimization techniques to enhance the identification and traversal of key points of interest (POIs) on semantic maps of complex environments. By leveraging LLMs, the proposed approach dynamically identifies POIs, ...
Abstract: The construction industry heavily uses many different categories of heavy equipment on a daily basis. Generally, such equipment is used extensively and lasts a long time with limited to no possibility of updating or enhancing. Especially, with the current advancements of technology, there is a need to modernize such mechanical ...
Abstract: Workers often spend significant time locating tools on construction sites, resulting in productivity losses. With the continuous advancement of robotic technologies, robot-to-human handover offers a potential solution to address this issue. However, existing robot handover methods face challenges in handling the irregular shapes and dangerous nature of tools, as well ...
Abstract: Maintenance, repair, and replacement (MRR) strategies for bridges are critical requirements for infrastructure management, demanding effective decision-making to balance cost and performance objectives. This research presents an automated decision-making tool designed to optimize long-term scheduling of MRR strategies, addressing the complexities of multi-objective problems in bridge management. The tool integrates ...
Abstract: Prefabrication of building components holds the potential to revolutionize the construction industry. Prefabrication consists of manufacturing building components, modules, and other elements in a factory to be shipped and installed on a construction site. Prefabricated components have been produced for various applications including precast concrete panels for new construction and ...
Abstract: This study introduces an innovative robot-assisted 3D scene reconstruction approach featuring a fixed field-of-view (FOV) LiDAR-based depth camera. The approach integrates a quadruped robot with LiDARcamera for depth measurement and for capturing RGB colour and texture. The RGB-D information is then used in SLAM to enable detailed 3D scene reconstruction ...
Abstract: In future automated construction sites, multiple autonomous agents must navigate safely and efficiently. While velocity obstacle-based algorithms like Optimal Reciprocal Collision Avoidance(ORCA) handle microlevel control, achieving efficiency also requires the management of macrolevel dynamics, similar to human social behavior. The existing C-Nav algorithm, which incorporates the concept of consideration for ...
Abstract: Over the past decade, Industrialized Construction (IC) has experienced increasing attention, with numerous studies examining the integration of various technologies to boost productivity and efficiency through manufacturing-oriented strategies. Among these, robotic arms have emerged as a dominant solution. However, further research is required, as the interactions between robotic arms and ...
Abstract: 3D printing has gained significant popularity in construction in recent years, along with a growing focus on earth-based materials. These materials must adhere to certain principles to ensure printability and extrudability, allowing for good consistency during the printing process. This would need extra water, resulting in a wet mixture that ...
Abstract: The pneumatic caisson method, which is used in the construction of bridge piers and other structures, is used in a variety of different sites. Currently, many processes in the pneumatic caisson method in Japan are carried out remotely. However, In Japan, the declining birthrate and aging population have created a ...
Abstract: Construction robots must perform complex construction tasks robustly under extreme and unpredictable conditions. Although current reinforcement learning methods, including imitation learning, show promise for this goal, they face inherent challenges, such as time-consuming reward function design or substantial data requirements that limit their generalizability to unstructured environments. These limitations are ...
Abstract: This paper presents a safety-focused, closed-loop grasping approach for object manipulation in dynamic environments, leveraging simulation data to ensure adaptive and safety-aware operations. We extend the OpenAI Safety Gym library by integrating a robotic arm model and propose Grasp Mechanics, a novel method for adaptive gripping. Using a constrained variant ...
Abstract: With the number of people with disabilities (PWD) increasing worldwide each year, the demand for mobility support to enable independent living and social integration is also growing. Wheelchairs commonly support the mobility of PWD in both indoor and outdoor environments. However, current powered wheelchairs (PWC) often fail to meet the ...
Abstract: Unmanned Aerial Vehicles (UAVs) have become indispensable for building inspections, offering safer, more efficient, and automated alternatives to traditional manual methods. However, current approaches often rely on predetermined inspection parameters, such as fixed distances, without adequately aligning with specific inspection goals or ensuring consistent data quality. This paper presents a ...
Abstract: This work explores the integration of Large Language Model (LLM)-powered agents into robotic construction workflows. An LLM-based agent framework by leveraging standardized IFC format is proposed to guide robotic tasks, such as bricklaying and 3D concrete printing. Through a combination of tailored tools, prompt templates, and a CustomMemory module, the ...
Abstract: Beyond increasing productivity, improving quality, performing hazardous tasks and reducing costs, robotics also offers sustainable solutions by optimizing the use of materials and improving energy efficiency. In addition, modern robots are highly adaptable platforms that result in more intelligent systems capable of performing complex tasks. The following article presents the ...
Abstract: The emergence of concrete 3D printing presents a transformative opportunity for decarbonizing the construction industry by enabling innovative design solutions that prioritize material efficiency and sustainability. While 3D-printed lattice beams have demonstrated significant material reductions using conventional, repetitive patterns, nature-inspired shapes have not been explored. This study investigates the potential ...
Abstract: This paper presents the design and development of an open-source browser-based interface for coordinating a multi-robot system for on-site construction inspections. The developed system enables remote human operators to effectively oversee and direct automated inspection tasks using both aerial and ground-based robotic platforms. The interface incorporates gaze-tracking technology for intuitive ...
Abstract: In concrete troweling for building construction, robots can significantly reduce workload and improve automation level. However, as a primary task of coverage path planning (CPP) for troweling, delimitating area of interest (AOI) in complex scenes is still challenging, especially for swing-arm robots with more complex working modes. Thus, this research ...
Abstract: Automation using mobile robots at construction sites is gaining attention as a key technology to enhance productivity and safety. However, due to the unstructured nature of construction sites with dynamic elements like construction equipment, robots must perceive their positions and movements in real-time to adapt to workflow changes while performing ...
Abstract: Japans Public Works Research Institute (PWRI) has developed OPERA (Open Platform for Earthwork with Robotics and Autonomy), an open source-based research and development environment consisting of construction machinery and its physical simulator, to promote the development of automated construction technology. Constructing a dynamic model of construction machinery is key to ...
Abstract: While human-robot collaboration (HRC) is anticipated to improve construction productivity and safety, it can become crucial to manage emotional responses of collaborating human workers (coworkers) during HRC due to their critical impacts on co-workers performance and human-robot cohesion. A potential approach involves controlling robots in ways that can adapt to ...
Abstract: The Architecture, Engineering, and Construction (AEC) sector faces increasing pressure for higher production rates amidst a growing shortage of skilled labor, driving the demand for advanced robotic applications to enhance precision, efficiency, and adaptability in complex environments. This paper introduces a software setup designed to ensure collision-free movements for multi-axis ...
Abstract: Architects and construction engineers have long been intrigued by a future where robots become pervasive in the built environment. Recent technological advancement has made this once utopian vision appear more feasible than ever. However, in the discourse of construction robotics, there seems to be insufficient discussion on the relationship between ...
Abstract: Conventional techniques for installing panels face several problems, such as human errors, time inefficiency, and safety risks. The panel installation robot, outfitted with sophisticated mechanical, electronic, and software technologies, proficiently addresses these challenges. The robot employs omnidirectional motion mechanisms, a telescopic robotic arm, and precision installation tools, including drills and ...
Abstract: Construction quality inspection plays a crucial role in ensuring safety and quality at all stages of a project. However, traditional quality inspection has certain limitations, such as time consuming, expensive equipment, and cumbersome processes. Therefore, improving inspection technologies and processes by utilizing Unmanned Ground Vehicle (UGV) equipped with relatively low-cost ...
Abstract: In response to the challenges in the assembly process of prefabricated buildings and the pursuit of sustainable construction, this paper proposes an industrial robot arm teleoperation method based on mixed reality (MR) technology. Traditional assembly processes that rely on manual installation face challenges such as operator safety issues, and high ...
Abstract: The introduction of innovative robotics to the traditional construction processes involves complex and multi-dimensional interfaces that could hinder effective technology implementation. This paper aims to identify potential interface problems between construction robots and traditional construction processes, and propose effective strategies for interface management. Drawing on a case study of the ...
Abstract: The Canadian construction industry faces challenges in accessing remote sites, resulting in logistical and environmental issues. Robotic construction, especially in situ or on-site assembly with industrial robots, offers a promising solution. This paper explores the feasibility and impact of on-site fabrication and construction (OSF&C) by performing a scaled down simulation ...
Abstract: The assembly of steel structures is a complex and labour-intensive process that poses significant safety risks to workers. The Intermeshed Steel Connection (ISC) is an emerging type of structural steel connection that requires fewer bolts and can benefit from the use of robotics. The assembly process for traditional structural steel ...
Abstract: Crane accidents often result in severe injuries and fatalities, necessitating accurate analysis and responsibility prediction to prevent future incidents. However, the scarcity of crane accident-specific datasets and class imbalance pose challenges to developing robust predictive models. This study addresses these challenges by leveraging paraphrase-based data augmentation methodology to expand a ...
Abstract: The construction industry is currently facing a labor shortage, prompting many researchers and practitioners to explore construction automation through advancements in robotics. For successful construction operations with multiple agents, effective and intuitive communication is essential. To this end, this research proposes a Motion-Based Communication (MBC) framework, which enables collaboration using ...
Abstract: In the field of modular construction, mobile cranes are an essential tool for lifting large and heavy modules vertically. These modules often need to be lifted without rotation, meaning they must be kept in a flat position during the lifting process to avoid potential structural damage. One of the most ...
Abstract: Accurate spatial localization is critical in the construction industry, indoor robotics, and other applications involving actor movement within buildings. This paper introduces a combined software and hardware framework designed to evaluate indoor localization systems leveraging optical tracking integrated with a ROS communication system. It supports recording location data, aligning trajectories ...
Abstract: Efficient remote operation of construction machines equipped with multiple video cameras requires smooth and real-time video transmission to simulate the experience of operating machinery in person. Due to the diverse network environments at construction sites, including satellite, Wi-Fi, and both public and private LTE/5G networks, an ultra-low delay video codec ...
Abstract: Mobile robots are increasingly used to explore and inspect confined environments, often in situations that are hazardous or inaccessible to humans, highlighting the need for advanced mapping and sensing capabilities. This paper presents a novel approach for constructing a multi-dimensional map by integrating sensor data from a hexapod robot with ...
Abstract: Construction tasks involve dynamic and visually demanding activities that require continuous monitoring, tracking, and decision-making. These demands can overwhelm workers' cognitive capacity and increase mental strain and reduce efficiency. This study combines two cognitive load assessment methods: objective cognitive load assessment using wearable eye tracking and task-based performance analysis by ...
Abstract: The construction industry is currently behind other non-farming industries on the trends of updating technologies, especially in implementing robotic automation in its processes. Because of this, there are numerous opportunities for development of new technologies in the construction domain for automating tasks, lowering risks, and decreasing costs. The focus of ...
Abstract: The identification of hazards is critical for mitigating accident risks on construction sites. Although current automatic recognition methods based on computer vision have demonstrated significant success, their performance can be limited by inadequate generalization capabilities and challenges in handling dynamic, complex scenes, leading to incomplete detection of various types of ...
Abstract: The construction sector has long faced low productivity relative to other industries. Modular and off-site construction (MOC) offers a promising solution by assembling modules in a controlled facility environment and benefiting from repetitive nature of operations and the ability to conduct processes simultaneously. These features increase process flow continuity and ...
Abstract: The construction industry faces significant challenges, including declining quality performance, skilled labor shortages, and resistance to technological innovation. These issues have hampered the sector's operational efficiency and reputation. A critical component of quality controlaccurate material placementremains dependent on manual interpretation of 2D drawings, a task often prone to errors due ...
Abstract: Effective management of labour productivity in construction projects is important for ensuring project success. This paper introduces a novel approach to quantifying uncertainty in labour productivity through entropy calculations based on outputs from a fuzzy expert system. Two distinct scenarios are analyzed to demonstrate the practical application of the proposed ...
Abstract: Automating productivity monitoring is crucial for improving the construction industry. To measure productivity, we should identify which worker works for what object and their relationship. The lack of understanding between human and object interaction in a large-scale format from video surveillance has become a significant challenge in construction sites. However, ...
Abstract: Fall incidents are a leading cause of injuries and fatalities in the construction industry, significantly impacting worker safety and productivity. Although many AI-based automated fall detection methods have been introduced, existing systems lack continuous communication support and often fail to address critical scenarios such as isolated work zones or high-risk ...
Abstract: Modular construction presents a strong alternative to traditional construction, offering advantages such as improved productivity, and better quality. However, the prefabrication of module components follows a make-to-order process, resulting in customized module components. This design customization, along with various factors such as worker skill levels, and defects in shop drawings ...
Abstract: Falling objects and debris at construction sites pose significant safety hazards, often going unnoticed during operations. Identifying these incidents in postconstruction reviews can enable safety managers to develop preventive action plans for future projects. This study uses existing surveillance cameras equipped with computer vision technology to detect, track, and count ...
Abstract: The construction industry is widely recognized for its high risk of workplace accidents, making effective safety management a critical priority. Traditional safety systems often rely on manual processes and fragmented documentation, leading to inefficiencies and human error in managing worker certifications and task authorizations; Therefore, this study presents a blockchain-based ...
Abstract: The Hazard and Operability (HAZOP) study is the most widely used hazard analysis technique in the process industry, aimed at enhancing safety and preventing accidents. It identifies potential hazards and operability malfunctions by dividing the design into small sections, called nodes, and analyzing each nodes process separately. This paper briefly ...
Abstract: Modular Integrated Construction (MiC) is an innovative off-site building method that improves productivity, safety, and sustainability by manufacturing standardized modules in factories for on-site assembly. MiC inspections demand high levels of accuracy, efficiency, and security due to the low fault tolerance in factory environments. However, existing approaches fail to comprehensively ...
Abstract: Tracking and monitoring construction activities (e.g., equipment and workers) is crucial for improving site productivity and safety. Manual monitoring, however, is time-consuming, error-prone, and costly. To address these challenges, computer vision (CV) techniques have emerged for automated detection and classification of construction activities. Traditional supervised CV-based methods often rely on ...
Abstract: This paper presents an automated workflow for weekly construction progress reporting, streamlining data integration and analysis. The proposed approach focuses on three key areas: planned activities, weekly performance, and projected progress. Inputs include an updated baseline schedule and weekly inspection data, such as images. Outputs, generated autonomously, provide project status ...
Abstract: The construction industry persistently underperforms in hazard recognition, often leading to severe workplace injuries due to unrecognized hazards. With the recent advancements in Artificial Intelligence (AI) and the emergence of Large Language Models (LLM), the construction sector has begun exploring these technologies for various applications. However, a systematic comparison of ...
Abstract: As the construction industry adopts digital technologies, cybersecurity risks are rising. However, the absence of a standardized incident reporting framework has resulted in limited disclosure of cybersecurity incidents and a lack of a centralized database. This prevents construction companies from learning from past events and developing effective cyber risk management ...
Abstract: Because the scale and conditions of construction sites vary widely and it can be difficult to use a one-size-fits-all method to acquire data, a method for transferring and utilizing three-dimensional (3D) data from one stage to another in construction projects is urgently needed. In this study, we developed a construction-information ...
Abstract: In the construction industry, critical safety information is often scattered across numerous documents, standards, and regulations, making it challenging for practitioners to access and comprehend safety knowledge in their daily operations efficiently. To address this challenge, we propose an intelligent and reliable question-answering system for information retrieval and response generation ...
Abstract: It is crucial in complex production environments, such as precast concrete manufacturing, to have efficient data management. Construction enterprises must navigate and organize vast amounts of data as part of their critical decision-making functions. The research described in this paper uses a case study to examine the implementation of a ...
Abstract: The construction industry plays a critical role in tackling the challenges of climate change, carbon emissions, and resource consumption. Current practices predominantly adhere to a linear supply chain model that gives insufficient attention to the End-of-Life (EOL) phase of structures. Transitioning to Circular Construction (CC) is essential for minimizing waste ...
Abstract: Concrete 3D printing offers significant potential to revolutionize construction through improved efficiency and cost-effectiveness. However, high cement content in 3D printable mixes raises questions about the environmental sustainability of this technology. This study proposes an automated methodology for 3D printing Reinforced Cement Concrete (RCC) filler slabs using compressed polyethylene (PE) ...
Abstract: The construction sector faces significant challenges in reducing emissions, with extending the lifespans of architectural products emerging as a key strategy. As stakeholders of the built environment focus on decarbonization, the concentration of efforts diverges towards either sustainable development of future products or sustainable preservation of the existing built environment. ...
Abstract: Given the significant impact of the construction industry on climate change, efforts must focus on reducing energy consumption, emissions, and raw material extraction. Through improved planning and continuous design optimization, building sustainability and circularity can be enhanced. Significant progress has been made in the fields of Building Information Modeling (BIM) ...
Abstract: In recent years, there has been an increasing focus on adopting circular approaches within the construction sector, particularly reusing building components in new projects. Facilitating design for reuse can significantly expand the scope of deconstruction and reuse efforts. Unlike conventional structural design, which assumes an unlimited supply of standardized components ...
Abstract: The construction industry (CI) is widely recognized for its inherent reluctance to adopt new digital tools, largely due to less than optimum user interface and user-centered functionalities compared to other sectors. Poorly designed software tools that fail to consider users' needs, such as ease of use, adaptability, and intuitive learning ...
Abstract: The prevalence of prefabrication in the modern construction industry has highlighted the importance of sustainable management of these new construction materials. Despite reduced emissions through minimizing construction time and production waste, at the end of the buildings life, the amount of construction waste produced remains constant. This paper aims to ...
Abstract: To achieve net-zero targets in the transportation infrastructure sector, cost-effective carbon reduction measures are essential. Despite increasing efforts to explore such measures, their cost-effectiveness remains underreported and insufficiently studied. A database of best practices with 1,046 entries from UK National Highways is extracted to investigate the cost-effectiveness of its carbon ...
Abstract: Optimizing waste diversion in construction and demolition projects is often indeterminate, imposing difficulties on deciding whether to reuse, recycle, or dispose of the materials. While data can be used to help bring objectivity to this process, the data collection process imposes numerous challenges (e.g., missing data, non-standardized data, different reporting ...
Abstract: The construction industry encounters significant environmental challenges, primarily due to concrete waste from demolitions and high CO2 emissions from cement production. Concrete waste is recycled into aggregates, generating a significant amount of waste concrete powder (WCP) as a byproduct. However, the application of WCP in recycling processes is limited, leading ...
Abstract: Digital Twins (DTs) is transforming construction by providing real-time, data-informed solutions that improve project workflows and can aid in achieving decarbonization objectives. In construction, DT was mainly implemented in the operation & maintenance phase. However, by combining DTs functionalities of real-time monitoring, predictive analytics, sophisticated simulations, and collaborative decision-making, construction ...
Abstract: Embodied carbon in the construction industry is a significant contributor to global carbon emissions. With growing emphasis on carbon neutrality and carbon pricing, the need for effective carbon accounting has become increasingly important. However, inefficient carbon information sharing, driven by the complex and fragmented nature of construction supply chains and ...
Abstract: Energy Performance Certificates (EPCs) are pivotal for evaluating building energy efficiency, informing decarbonisation policies, and supporting retrofit. However, errors in EPC datasets compromise their reliability. This study develops an automated anomaly detection framework integrating Machine Learning (ML) and auxiliary datasets to enhance EPC data accuracy at scale. By reviewing validation ...
Abstract: The construction sector faces significant challenges in balancing environmental sustainability, economic feasibility, and compliance with required strength standards. This study investigates the potential of recycled materials, specifically waste concrete fine aggregates (WCA), for use in geopolymer mortar for 3D concrete printing as a sustainable alternative to conventional construction methods. The ...
Abstract: The construction sector's considerable environmental impact has led to a growing demand for sustainable construction technologies. This study aims to compare the cost and environmental impact of traditional construction and 3D printing construction processes, starting from the supply of raw materials to the final construction and construction waste disposal. Based ...
Abstract: Building energy research faces challenges in predicting complex interactions, integrating renewable energy, bridging real-world applications, addressing economic feasibility, and designing buildings to adapt to climate conditions. Zero energy building (ZEB) is an innovative approach aiming to generate renewable energy equivalent to building demand, but its development is hindered by industry ...
Abstract: Human-robot collaboration (HRC) in the construction industry depends on precise and prompt recognition of human motion intentions and actions by robots to maximize safety and workflow efficiency. There is a research gap in comparing data modalitiessignals and videosfor motion intention recognition. To address this, the study leverages deep learning to ...
Abstract: The integration of robotics into construction is transforming industry, necessitating that Construction Engineering and Management (CEM) education programs adapt to prepare future professionals for increasingly technologically driven workplaces. Traditional lecture-based methods often lack interactivity and fall short in imparting practical skills needed for emerging technologies. This study explores the potential ...
Abstract: The real-time estimation of human activity level in indoor environments is crucial for thermal comfort prediction and optimizing HVAC systems, as well as supporting health monitoring and ergonomic assessments. Existing methods typically categorize activities into predefined types and therefore are not efficient for new activities. Furthermore, the transition between activities ...
Abstract: Human-robot collaboration (HRC) holds significant potential to enhance productivity and efficiency in modular construction (MC). While existing studies in construction HRC have predominantly focused on technical advancements, limited attention has been paid to human factors and the cognitive impacts of robots on workers during collaboration. This study addresses this gap ...
Abstract: Drones are increasingly used in construction projects to facilitate tasks such as progress tracking, safety monitoring, and quality inspection. Despite their advantages, the presence of drones may introduce distractions that compromise workers ability to identify hazards, thereby elevating the risk of accidents. While limited studies have conducted quantitative assessments of ...
Abstract: Drones have become indispensable in construction projects, performing tasks such as site surveying, 3D mapping, progress monitoring, and inspecting hazardous or hard-to-reach areas. Their integration has significantly enhanced efficiency, precision, and safety. However, effective human-drone interaction remains challenging due to the complexity of construction environments and the necessity for precise ...
Abstract: This research explores an innovative AI-driven approach to optimizing construction processes with a focus on human-centered design, addressing key challenges in the construction industry, such as skilled labor shortages and ergonomic risks associated with work-related musculoskeletal disorders. By integrating process design with AI-based algorithms into simulation tools, various construction process ...
Abstract: The adoption of active exoskeleton systems in the construction industry shows potential for reducing work-related musculoskeletal disorders (WMSDs) by providing physical support to workers during labor-intensive tasks. However, concerns about the potential impact of exoskeletons on workers' vigilance and attention to hazards have not been fully explored. This study examines ...
Abstract: Work-related musculoskeletal disorders (WMSDs) significantly impact worker health and productivity in construction. Physically coupled robotics, such as exoskeletons, offer a promising solution by augmenting human capabilities and reducing strain. However, their effective use requires precise human-robot synchronization, which can be challenging in dynamic construction environments. Traditional training methods often fail ...
Abstract: Off-site construction (OSC) is a well-established paradigm for achieving productivity, safety, and sustainability in construction. The key factor in its success is the efficiency of the workforce transforming blueprints into actual buildings and building elements. This has driven efforts to improve working conditions at the production facility, paving the way ...
Abstract: Public participation is crucial for designing livable cities and accelerating planning procedures. A key challenge is the complexity of planning documents, which are often difficult for non-experts to understand. Digital participation and techniques like 3D visualizations and Building Information Modeling (BIM) offer promising solutions to enhance the comprehensibility and acceptance ...
Abstract: Robots hold great potential for enhancing efficiency, quality, and safety in construction, yet the unstructured and dynamic nature of construction sites limits the feasibility of full automation. Human-robot collaboration (HRC) offers a solution by integrating human expertise with robotic precision to improve adaptability. However, there remains a significant gap in ...
Abstract: Visual fidelity affects the user experience and performance in virtual environments. While past studies have explored its effects, most have relied on qualitative measures, and few quantitative studies have specified visual quality standards. This study examined the influence of visual fidelity on task performance and mental workload in immersive virtual ...
Abstract: Manufacturing is a critical stage in modular construction, as it directly affects cost, schedule, and quality. Human-robot collaboration (HRC) has the potential to enhance modular construction manufacturing (MCM) productivity while preserving essential flexibility. Despite these benefits, previous studies on designing HRC workplaces for MCM have primarily focused on efficiency, often ...
Abstract: An unsupervised multimodal learning scheme based on autoencoder (AE) is proposed and developed for fault detection of building heating, ventilation, and air conditioning (HVAC) systems, applicable across multiple types of fan coil units (FCUs), i.e., cooling, heating, cooling & heating FCUs. Building automation system data of these three types of ...
Abstract: In Korea, research initiatives have commenced to digitize engineering and construction codes, and automate their compliance using BIM models for mandatory submission in public projects. The initiatives require employing IFC, a neutral and standard data format, to associate individual codes with relevant BIM elements. However, the IFC does not provide ...
Abstract: This paper introduces a Mixed Reality (MR)-captured dataset and a benchmark evaluation of deep learning models for Mechanical, Electrical, and Plumbing (MEP) component classification. The dataset, collected using Microsoft HoloLens 2, comprises eight distinct building environments containing pipes and ducts, presenting unique challenges characteristic of MR-captured data, including lower point ...
Abstract: The issue of renovating a significant number of buildings has emerged as a prominent concern within the architecture field in recent years. The renovation of existing buildings represents a significant opportunity for reducing energy consumption and greenhouse gas emissions at minimal economic cost. However, achieving effective renovation outcomes can be ...
Abstract: Integrating computer vision technologies into the construction industry has the potential to revolutionize site monitoring, safety management, and quality control. However, a critical gap remains in the availability of specialized datasets tailored to construction sites' distinct conditions and complexities while including sufficient classes representing most items in construction sites. Existing ...
Abstract: This research presents a two-phase AI-driven approach to enhance automated construction planning and scheduling, addressing common challenges such as project delays and budget overruns in the Architecture, Engineering, and Construction (AEC) industry, often caused by inefficient project management. Traditional AI methods rely heavily on static programming and manually annotated datasets, ...
Abstract: In petrochemical plant construction, pipe installation critically the affects overall progress and costs, making accurate on-site pipe quantification essential. However, the wide range of pipe diameters, high-density layouts, and complex site conditions poses significant challenges for automated counting methods. To address these issues, this study constructs the PetroPipe dataset, comprising ...
Abstract: Reliable quantification of localized construction and demolition waste (CDW) stockpiles is crucial for promoting sustainable waste management and recycling practices. While prior Structure-from-Motion (SfM) research predominantly focuses on methodological parameters, comparatively limited research has addressed the role of environmental and capturing factors in small-scale reconstructions. This study investigates the accuracy ...
Abstract: This study proposes a multi-resolution fast 3D reconstruction framework that integrates transformer-based damage detection with rapid 3D modeling to enhance bridge surface defect identification and spatial localization. The framework consists of three phases: (I) 3D reconstruction using Structure from Motion (SfM) to generate a structural model with sparse point cloud, ...
Abstract: Concrete bridges are critical infrastructure assets that require regular inspection to ensure public safety and efficient functionality. Traditional methods for crack detection are often manual, time-consuming, and prone to subjectivity, which can compromise inspection accuracy and efficiency. Deep learning techniques have been increasingly utilized in bridge crack detection. However, very ...
Abstract: Accurate representation of building semantics encompassing both generic object types and specific subtypesis essential for effective AI model training in the architecture, engineering, construction, and operation (AECO) industry. Conventional encoding methods (e.g., one-hot) often fail to convey the nuanced relationships among closely related subtypes, limiting AIs semantic comprehension. To address ...
Abstract: Automated Fault Detection and Diagnostics (AFDD) is a data-driven approach that enables the timely detection of faults, their types, and severity in Heating, Ventilation, and Air Conditioning (HVAC) systems. Machine learning models can be used to develop and implement AFDD models for HVAC at the system, sub-system, and equipment levels. ...
Abstract: Efficient road maintenance is vital for long-lasting and safe transportation networks, but traditional methods that rely on manual inspection are labour-intensive and error-prone. The integration of Natural Language Processing (NLP) and Large Language Models (LLMs) presents a transformative solution for automating text-based tasks in road maintenance. This study investigates the ...
Abstract: Technical drawings are essential for managing and maintaining existing bridges, especially in creating accurate digital models and integrating them into Building Information Modeling (BIM) workflows. However, digitizing older bridges, which often lack BIM models is challenging due to the time-consuming and error-prone process of manual data extraction from 2D drawings. ...
Abstract: Building Information Modeling (BIM) has significantly advanced design efficiency and collaboration in the architecture, engineering, and construction (AEC) industry. However, current BIM workflows remain hindered by complex interfaces, repetitive tasks, and limited automation options, which result in a steep learning curve and labor-intensive design processes. To address the challenges, this ...
Abstract: This study proposes a data-driven framework to reduce Non-Productive Time (NPT) in Off-Site Construction (OSC) by integrating predictive modeling with lean principles. Through comprehensive computer vision (CV) techniques, large-scale video data are analyzed to identify key operational states, worker positions, and material flows. Two primary classification approachesa Random Forest (RF) ...
Abstract: The prediction of fatigue strength in steel is critical for the design and analysis of structural components, given the high costs and time associated with fatigue testing and the severe consequences of fatigue failures. This study explores the application of the CatBoost machine learning algorithm to predict the fatigue strength ...
Abstract: The rapid data growth in smart building environments requires advanced tools to integrate, interpret, and utilize this information effectively. Smart buildings generate vast and heterogeneous data streams, including sensor readings, occupancy metrics, and environmental conditions, which are critical for optimizing energy efficiency, enhancing occupant comfort, and enabling predictive maintenance. However, ...
Abstract: Various vision sensor-based platforms generate critical information for real-time construction site monitoring, but their independent applications limit the effective use of this data. This study proposes a framework that integrates three representative vision platformsUnmanned Aerial Vehicle (UAV), Terrestrial Laser Scanner (TLS), and Closed-Circuit Television (CCTV)to create a unified digital map. ...
Abstract: Construction sites are dynamic environments where fire hazards pose significant safety risks. Effective hazard recognition is the key step to prevent such hazards. While existing research has developed various training methods, limited studies focus on fire hazards in construction. Moreover, most approaches fail to adapt to evolving site conditions. To ...
Abstract: In construction quality monitoring, accurately detecting and segmenting cracks in concrete structures is paramount for safety and maintenance. Current convolutional neural networks (CNNs) have demonstrated strong performance in crack segmentation tasks, yet they often struggle with complex backgrounds and fail to fully capture fine-grained tubular structures. In contrast, Transformers excel ...
Abstract: The monitoring of the road construction operation is critical to ensure high-quality roads. This is especially the case for the compaction of the asphalt surface layer since the operation is very time-sensitive and mostly irreversible. Historically, monitoring of the asphalt compaction is limited to temperature and compaction homogeneity. While useful, ...
Abstract: Modular Integrated Construction (MIC) currently depends on manual assembly processes, which are not only inefficient but also have safety risks. To address this issue, we propose vision-based technologies for automatic segmentation, measurement, and position estimation to aid in the assembly process in construction. Specifically, we utilize the Yolov8-seg model, which ...
Abstract: More than 500 statutes and rules are interlinked with building codes and regulations, with 24 amendments introduced in 2023. This complex network of references, combined with frequent revisions, poses significant challenges for both legal experts and laypeople in interpreting building codes. To address this, prior research has explored the application ...
Abstract: The Dutch road construction industry is transitioning from hot mix asphalt (HMA) to more eco-friendly warm mix asphalt (WMA). While WMA offers clear environmental benefits, its distinct material properties, particularly the compactability, demand different construction practices. However, limited industry knowledge hinders WMA construction planning, driving the need for automated tools ...
Abstract: Crew-level productivity analysis plays a crucial role in construction site management, as it provides a macro-level understanding of workforce performance. While traditional productivity measurement methods, such as work sampling, group timing technique, and five-minute rating, offer valuable insights, they rely heavily on manual observation, making them labor-intensive and prone to ...
Abstract: Pier foundations are commonly used in locations with unstable soil or where other types of foundations are unsuitable or cost prohibitive. A pier foundation consists of vertical columns to support the structure and elevate it above the ground. Common materials for pier foundations include masonry, concrete, timber, and steel. The ...
Abstract: Automated rebar cage assembly and quality inspection require reliable rebar recognition. Although rebar segmentation from point clouds has been extensively studied, its generalizability remains limited. One key challenge is the scarcity of real data for training the segmentation models. To address this issue, we propose, for the first time, a ...
Abstract: The increasing complexity and uncertainty in construction projects necessitate more efficient and adaptive construction management systems. This research studies the automation of the Last Planner System (LPS), a collaborative lean scheduling tool, by integrating predictive strategies to enhance scheduling accuracy, constraint resolution, and insights for decision-making. A conceptual framework is ...
Abstract: Automated crack detection plays a critical role in infrastructure maintenance and safety assessment. The detection and segmentation of concrete and pavement cracks present substantial technical challenges. These challenges stem from the inherent complexity of crack morphology, environmental lighting variations, and the textural similarities between cracks and their surrounding surfaces. In ...
Abstract: The integration of off-site manufacturing with onsite construction in the Modular Construction Supply Chain (MCSC) presents significant challenges due to the differences in production methods and geographical distances. While various technologies have transformed construction practices, substantial improvements are still needed in on- and off-site coordination to mitigate delays, ensure quality, ...
Abstract: Chilled water-cooling systems are essential for maintaining optimal building temperatures in commercial applications, such as hospitals, where precise temperature control is critical for patient care. Accurately estimating cooling tower fan speed is vital for energy efficiency and operational optimization. Traditional physics-based models often require iterative solving techniques, such as Newton-Raphson, ...
Abstract: The rapid development of digital twin technology has opened new avenues for infrastructure management, particularly for addressing vegetation encroachment risks near power lines. This paper builds upon our previous work in LiDAR-based proximity detection by proposing a framework for creating digital twin for vegetation management near power distribution networks. The ...
Abstract: Panelized construction is an offsite construction approach that offers enhanced design flexibility and cost-effective assembly. Despite these advantages, it faces challenges due to a fragmented supply chain (SC) and transportation coordination issues that can lead to cost overruns and schedule delays. To address these challenges, this study introduces a transportation ...
Abstract: This paper presents a novel image-based indoor localization approach that leverages semantic segmentation techniques by combining synthetic images generated from building information modelling (BIM) and deep learning (DL) methods. Unlike traditional image-based methods that compare overall visual features, our approach focuses on stable building componentssuch as floors, ceilings, walls, doors, ...
Abstract: Remote construction engineering education can provide immense benefits to students and colleges by removing time and cost hindrances that currently prevent enrolment. However, replicating the hands-on experiential learning provided by traditional in-person site visits poses significant challenges for remote students due to accessibility barriers. These barriers include limited access to ...
Abstract: Visual inspection of civil infrastructure assisted by Unmanned Aerial Vehicles (UAVs) witnessed significant improvements due to the rapid development of drone-mounted cameras and sensors. In visual inspection, accurate pose estimation of the collected images is a pivotal task that enables registering images to pre-existing 3D scenes of the structure to ...
Abstract: The management of complex civil infrastructures must adopt the principles of complex systems, focusing on identifying and modeling emergent behaviors for effective decision-making and predictive insights. Current methods face limitations in cross-scale and cross-domain analyses: process-based models are confined to single domains and fail under uncertainty, while data-driven approaches lack ...
Abstract: Effective monitoring of aging bridges is critical for ensuring their safety and maintenance. This study introduces a framework for on-site autonomous aerial bridge monitoring using sensor fusion and SLAM (Simultaneous Localization and Mapping). The proposed method utilizes a lightweight LiDAR sensor and a mini PC onboard a drone to generate ...
Abstract: Hand-Arm Vibration Syndrome (HAVS) results from prolonged exposure to hand-held vibrating tools, such as jackhammers, drills, and grinders. Construction workers frequently use these tools for extended periods and are therefore prone to developing HAVS over time. HAVS can affect the vascular, neurological, and musculoskeletal systems of workers, leading to both ...
Abstract: Crack detection in concrete structures is a critical component of infrastructure health monitoring, as cracks pose significant risks to structural integrity. Traditional manual inspection methods, while effective, are resource-intensive, time-consuming, and prone to human error. Automated crack detection using vision-based techniques has become a focal point of research, aiming to ...
Abstract: Building Information Modeling (BIM) has revolutionized the construction industry by providing a comprehensive digital representation of building structures throughout their lifecycle. However, existing research lacks effective methods for capturing the complex spatial and topological relationships between components in BIM models, which are essential for understanding design patterns and enhancing decision-making. ...
Abstract: Construction workers frequently endure high levels of physical strain, which can lead to fatigue and long-term musculoskeletal disorders. Traditional methods of fatigue assessment often fail to provide timely and accurate diagnoses, particularly in dynamic work environments. In this paper, we present a Vision Transformer-based approach for assessing localized physical fatigue ...
Abstract: Construction progress monitoring is an essential activity for ensuring a projects quality and timely delivery. Scan-to-BIM demonstrates its potential and superiority in capturing the as-built status and handling design changes to achieve real-time project tracking. Previous studies have focused on its main steps, including segmentation, recognition, and reconstruction, but often ...
Abstract: Building envelope retrofits, despite their benefits on enhancing energy efficiency, progress slowly due to high operating costs. Overclad panelized systems present an attractive solution to make retrofits affordable and easy to install. However, several stages of the retrofit process remain disconnected, suboptimal, and require significant human intervention. This study aims ...
Abstract: Ensuring the safety and longevity of steel structures, like bridges and buildings, depends on the effective monitoring of rust and its severity. Traditional methods of rust detection often rely on visual inspections, which can be subjective and time-consuming. In this paper, we present a more efficient way to classify rust ...
Abstract: The study aims to explore the degree of Artificial Intelligence (AI) integration in construction projects and analyze its effects on cost-effectiveness, safety, and productivity. The objective is to investigate the relationship between the application of AI and its integration in the construction sector, evaluating the possible changes and adjustments in ...
Abstract: This paper explores the integration of a novel Ontology for Concrete Surface Defects (OCSD) with a Large Language Model (LLM), specifically GPT-4o (omni), to enhance defect diagnosis and repair strategies in concrete structures. While LLMs independently offer significant reasoning and natural language capabilities, this study demonstrates the value of combining ...
Abstract: The movement and posture variability of construction machines is a significant contributor to safety hazards on construction sites. Even when a machines location is fixed, its moving parts may collide with on-site personnel or objects, leading to injuries or production loss. Accurate estimation of 3D full-body poses of machines can ...
Abstract: This work presents the 3D Printed Construction Digital Workflow (3DPCDW) as a novel platform for integrating AEC with 3DPC, Digitalizing the 3DPC flow from basic elements to execution with robotic manipulators, while augmenting design through inherent tectonic expression of this technology. This platform was tested producing programs for the Gananoque ...
Abstract: Indoor comfort is shaped by many factors, such as thermal comfort, air quality, and lighting. Traditional building-management systems often struggle to bring all these elements together and make real-time adjustments. To tackle this challenge, this study develops a digital-twin platform that combines indoor-comfort assessment with intelligent environmental control to realize ...
Abstract: While BIM technology is widely used for designing and managing above-ground construction, its applicability in representing underground soil distribution and properties is limited, which can increase risks during planning and construction. This study integrates Dynamo with on-site drilling data to automatically generate underground soil models, which incorporates key attributes such ...
Abstract: Algorithmic pricing systems have revolutionized industries, and their application in construction bidding is no exception. Integrating large language models (LLMs) for bid price setting introduces new opportunities and challenges in this domain. This study experimentally demonstrates the capability of LLM agents to generate competitive bidding strategies in a construction environment, ...
Abstract: This study introduces a novel framework for optimizing material costs and construction efficiency in MEP (Mechanical, Electrical, and Plumbing) automatic routing design. Through a detailed literature review, the study identified key limitations in existing MEP auto routing systems, including insufficient consideration of material cost reduction, inefficiencies in handling complex installation ...
Abstract: This paper introduces a newly developed framework for the automated generation of inspection reports in construction. The method utilizes earlier published developments by the authors on object recognition and localization. Inspection reports in this paper are documents that monitor and record the progress of installed project components and their targeted ...
Abstract: Efficient construction of precast concrete buildings (PCB) with high quality and safety requires adequate planning and scheduling of the assembly of precast components (PC). Traditional manual assembly sequence planning and scheduling (ASPS) methods often result in sub-optimal and error-prone schedules, especially in complex projects. Existing metaheuristic-based ASPS methods lack generalizability ...
Abstract: For real-time simulation of construction equipment, the operation of blades and other tools in contact with soil represent some of the most challenging problems both in terms of performance and accuracy. Soft soil interactions are particularly difficult to model and simulate efficiently, yet, a physically representative, interactive simulation that provides ...
Abstract: Acoustic comfort, a critical yet often overlooked aspect of indoor environmental quality, plays a significant role in occupant health and productivity. Unlike other comfort dimensions, such as thermal or lighting, measuring acoustic comfort remains challenging due to its subjective nature and the complex interplay of physiological and psychological factors. Current ...
Abstract: Efficient construction monitoring and project visualization are vital in civil engineering: they promote safety, minimize costs, and ensure adherence to design plans. With advances in reality capture techniques, such as LiDAR, point clouds have emerged as a powerful tool for digitizing largescale scenes with excellent accuracy. However, the challenges of ...
Abstract: In the wood construction industry, timber structural defect detection is usually considered a premanufacturing inspection step done manually. To address this issue, the proposed study discusses the timber structural defect detection method based on YOLOv8 variants. The evaluation matrices used are precision, recall, mAP.5, and mAP.5-.95, and the results indicate ...
Abstract: For progress monitoring in the construction industry, understanding the state of construction sites is crucial. However, traditional manual inspection methods are labor-intensive and time-consuming. To address these challenges, various methods for creating 3D models of job sites have been explored. Professional equipment such as LiDAR and laser scanners offer the ...
Abstract: The 3D building reconstruction from point clouds and images has significant applications in the field of built environment. Previous studies have investigated the methods of the indoor environment reconstruction and other studies explored the building façade reconstruction. However, limited studies have been conducted on aligningindoor and outdoor elements from point ...
Abstract: This paper presents a novel method for generating microscale digital twins of rubble stone masonry walls using a robotic construction pipeline. The pipeline integrates stone stock digitalization, stone layout planning, robotic stone assembly, and a dynamic digital twinning process. To validate the approach, a 0.7 × 0.7 × 0.4 m3 ...
Abstract: Building Information Modelling (BIM) has wide application in building construction; however, its adoption in road construction remains limited. Although some studies have investigated the integration of BIM and photogrammetry, this integration remains largely an under-explored and overlooked area in specific environment of road infrastructure construction, with significant gaps in research ...
Abstract: The construction industry has long explored robotics and computer vision, yet their deployment on construction sites remains very limited. These technologies have the potential to revolutionize traditional workflows by enhancing accuracy, efficiency, and safety in construction management. Ground robots equipped with advanced vision systems could automate tasks such as monitoring ...
Abstract: Building Information Modeling (BIM) plays an important role in building design and construction, particularly for achieving energy-efficient retrofits. Building envelope retrofits using panelized prefabricated system, such as those popularized by the Energiesprong program, need accurate as-built dimensions of facade features (windows, doors, etc.) to achieve the desired thermal and air ...
Abstract: The construction industry in North America is a dynamic and rapidly evolving sector characterized by its fast-paced operations and constantly shifting demands. Despite its significance, the industry has been slow to adopt emerging technologies compared to other fields. This lag extends to the integration of artificial intelligence (AI), where vast ...
Abstract: Rising global temperatures and more frequent extreme weather events have made air conditioning systems essential for maintaining indoor thermal comfort. Building engineers often rely on real-time data to optimize energy retrofits that can also help improve building thermal resilience against these extreme climate events. However, older buildings often lack the ...
Abstract: The construction industry is undergoing a rapid transformation through the integration of digital technologies and construction. These advancements drive methods like object detection, enabling applications such as progress monitoring and material reuse to support sustainability goals. By fostering innovation, reducing material waste, and promoting circular economy principles, these technologies hold ...
Abstract: Construction workers frequently encounter substantial mental stress due to the high demands of their roles, including tight deadlines and challenging environmental conditions. Although electrodermal activity (EDA) sensors offer a promising solution for monitoring stress levels, traditional designs are often inflexible, leading to issues such as poor skin contact, elevated contact ...
Abstract: Mobile Laser Scanner (MLS) technology enables the acquisition of high-precision three-dimensional lidar point cloud data of roadside infrastructure elements, including traffic signs and street poles. This research presents an innovative and computationally efficient algorithm for the extraction of pole-shaped objects from MLS point clouds. The methodology addresses the computational challenges ...
Abstract: Additive construction by extrusion addresses challenges such as labor shortages and inconsistent quality in traditional construction methods by offering automation, precision, and reduced waste. However, it remains challenging for large scale implementation due to dynamic printing conditions and environmental influences. Real-time control can be greatly beneficial in addressing these variations, ...
Abstract: Scaffolding safety is a critical challenge in the construction industry, often compromised by accidents caused by improper assembly and missing components. This study introduces an automated pipeline for scaffold safety monitoring, integrating robot-assisted point cloud data acquisition, deep learning-based segmentation, scaffold component detection, and safety verification. A quadruped robot equipped ...
Abstract: Rooftop 3D reconstruction using UAV-based photogrammetry offers a promising solution for infrastructure assessment, but existing methods often require high percentages of image overlap and extended flight times to ensure model accuracy when using autonomous flight paths. This study systematically evaluates key flight parametersground sampling distance (GSD) and image overlapto optimize ...
Abstract: Accurate assessment of tunnel conditions is vital for ensuring long-term safety and structural integrity, particularly in weak rock masses with complex geological conditions. This study introduces a methodology to analyze tunnel deformation and potential damage using point cloud data acquired in 2019, 2022, and 2024 through terrestrial laser scanning (TLS). ...
Abstract: We developed a 3D measurement system for autonomous construction and conducted demonstration experiments of autonomous construction using OPERA (Open Platform for Earthwork with Robotics and Autonomy), which is a research and development platform developed by the Public Works Research Institute. As a use case, we carried out soil loading into ...
Abstract: Vision-based indoor positioning approaches are increasingly gaining attention due to their cost-effectiveness and scalability. The core principle of vision-based indoor positioning is to identify the most visually similar space to the reference space images. A major challenge in previous vision-based indoor positioning methods arises from the need for large annotated ...
Abstract: 3D human joint estimation is essential for enabling effective human-robot interaction in construction automation, facilitating precise monitoring of worker movements to enhance safety, ergonomics, and operational efficiency. Vision-based systems utilizing multi-camera setups offer diverse perspectives to address challenges such as occlusions, projection ambiguities, and sensor noise. However, these systems depend ...
Abstract: Deterioration and maintenance are a constant part of the operational phase of a structures life cycle. Managing and analyzing a structures history of damage and repair is essential for present operational decisions. Images are a central way of documenting the location of damages during maintenance, but often lack references to ...
Abstract: The accurate modeling of building facades plays a critical role in architecture, urban planning, and energy efficiency. Traditional methods of facade mapping are often labor-intensive, costly, and prone to error. Recent advancements in computer vision and sensor technology have introduced innovative approaches for capturing precise geometric data, including the use ...
Abstract: This study presents a methodology for the automated inspection of rebar diameters and spacing in wall structures using a laser scanner. Previous studies conducted the methods in controlled laboratory environments, and primarily focused on predicting rebar diameters larger than 10 mm. However, these methods have difficulties applying to real-world construction ...
Abstract: Additive manufacturing (AM) of eco-friendly materials has the potential to decarbonize the construction industry by enabling the creation of complex structures with minimal waste. Clay has been integrated into AM processes as a building material, giving rise to an emerging research field referred to as clay printing. Defects, such as ...
Abstract: Bridge inspection reports contain a wealth of crucial data on bridge components and their related structural defects. This study introduces a novel method that harnesses the power of Generative Pre-trained Transformers (GPT) for improved information extraction from bridge inspection reports. While most studies in this domain focus solely on data ...
Abstract: Various methods have been proposed in recent years to extract valuable insights from images and videos of construction activities to improve project management. Previous studies have proposed automated video collection using camera-equipped multirotor unmanned aerial vehicles (CE-MUAVs) to enable the collection of construction videos with the ability to fit the ...
Abstract: The automation of tasks in construction industries is a solution for countries experiencing a labour shortage in those industries. The task of drywall finishing in an off-site construction environment is particularly interesting for automatization because of the large amount of labour, the strain on the workers body, the falling risk ...
Abstract: This article documents the developments from a collaboration with the Matosinhos City Hall in Portugal. The collaboration included the development of a web platform to integrate a management software already in use by the city hall, with 3D visualization capabilities, and the development of information requirements to guide the preparation ...
Abstract: The Retrieval-Augmented Generation (RAG) framework has gained attention as a fast and cost-effective method for enhancing the performance of large language models (LLMs). However, its performance remains limited in minority languages such as Korean, and this issue is exacerbated in specialized fields like construction. To address these limitations, this study ...
Abstract: The transition from Construction 4.0 to Construction 5.0 signifies a new era of innovative and advanced practices in the construction industry. This study explores the integration of 3D Concrete Printing (3DCP) technology within the Construction 5.0 paradigm, emphasising its potential to transform conventional practices by aligning with core criteria of ...
Abstract: Sustainability in construction practices is becoming the need of the day, and the construction sector is getting adoptive to the integration of digital tools to explore the opportunities for enhancing sustainability and circular economy applications, offering significant benefits to both industry and society. To achieve this goal, this article discusses ...
Abstract: The construction industry faces complex decision-making challenges that require the integration of extensive domain knowledge and data analysis. Traditional methods are inadequate to effectively address these challenges due to the dynamic nature of construction projects. In the fast-evolving landscape of construction technology, artificial intelligence (AI) plays a crucial role in ...
Abstract: In recent years, the construction industry has urgently needed to address labor shortages caused by an aging workforce and population decline, drawing increasing attention to automated construction technologies. In this paper, focusing on earthworks, we propose a benchmark indicator composed of two levels: an automated construction level, which expresses the ...
Abstract: Public participation is critical to the success of construction projects as it enables citizens to influence and engage in planning processes. Traditional participation methods often rely on two-dimensional technical plans, which are frequently perceived as difficult to understand, particularly by non-experts. In recent years, digital visualization techniques, especially 3D models, ...
Abstract: The post-pandemic rise in Computer-Aided Design (CAD) tool adoption has driven a shift toward accessible, cost-effective open-source and "Do-it-yourself" (DIY) CAD tools, increasingly favored by individuals, small and medium sized enterprises (SMEs), and entrepreneurs over proprietary software. Despite their growing popularity, none of the existing studies investigate the security of ...