Research Status Quo and Trends of Construction Robotics: A Bibliometric Analysis DOI
Huanyu Wu, Yongqi Liu, Ruidong Chang

et al.

Journal of Computing in Civil Engineering, Journal Year: 2023, Volume and Issue: 38(1)

Published: Sept. 25, 2023

Labor shortage and low labor productivity are critical issues in the construction industry. Robotics, as a powerful technology to improve digitization era, is being used assist addressing these problems. Particularly recent years, interest robotics research has risen remarkably. To gain deeper understanding of this burgeoning field, study provides bibliometric analysis 498 related papers retrieved from WoS (Web Science). Performance science mapping were paper identify trends, relationship among authors, top publication sources, regional activities, well knowledge base dominant sub-fields. The results indicated that number focusing on been continuously growing since 2013. "Automation," "system," "design" have most addressed topics robotics. findings indicative identifying deficiencies existing provide directions for future research. Those include greater attention paid experimental on-site robots, while ignoring impacts practical situations, development off-site robots needs more support. For theoretical research, there lack studies human–robot collaboration workflow management models. Therefore, would be valuable providing practitioners researchers with better perspective facilitating building intellectual wealth

Language: Английский

Exploring the synergies between collaborative robotics, digital twins, augmentation, and industry 5.0 for smart manufacturing: A state-of-the-art review DOI Creative Commons
Muhammad Hamza Zafar, Even Falkenberg Langås, Filippo Sanfilippo

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2024, Volume and Issue: 89, P. 102769 - 102769

Published: April 6, 2024

Industry 5.0 aims at establishing an inclusive, smart and sustainable production process that encourages human creativity expertise by leveraging enhanced automation machine intelligence. Collaborative robotics, or "cobotics",is a major enabling technology of 5.0, which aspires improving dexterity elevating robots to extensions capabilities and, ultimately, even as team members. A pivotal element has the potential operate interface for teaming aspiration is adoption novel technologies such virtual reality (VR), augmented (AR), mixed (MR) haptics, together known "augmentation". also benefit from Digital Twins (DTs), are digital representations physical assets serves their counterpart — twins. Another essential component artificial intelligence (AI), create more intelligent efficient manufacturing process. In this study, systematic review state art presented explore synergies between cobots, DTs, augmentation, manufacturing. To best author's knowledge, first attempt in literature provide comprehensive various components 5.0. This work increasing global efforts realize large variety application possibilities offered up-to-date reference stepping-stone new research development within field.

Language: Английский

Citations

59
Investigating the future study area on VR technology implementation in safety training: A systematic literature review DOI Creative Commons
Adithya Sudiarno, Ratna Sari Dewi, Retno Widyaningrum

et al.

Journal of Safety Science and Resilience, Journal Year: 2024, Volume and Issue: 5(2), P. 235 - 248

Published: April 16, 2024

Safety training is the exercise normally conducted for all current and future employees of a company to identify recognize occupational hazards diseases as well determine appropriate controlling methods. Moreover, virtual reality (VR) technology developed virtually simulate surrounding environment ensure immersive experience interaction through artificial three-dimensional (3D) platforms. VR devices have been be more compact, easy use, affordable enable people enjoy experiences provide interactive realistic content. This has made one most popular forms media different kinds training, such safety-related ones. Therefore, this study aimed review use in safety systematic literature (SLR) method. The process focused on developing 4 primary questions (PQs) classified into 11 research (SRQs) discussion points concerning developments applications. These were further combined with preferred reporting items reviews meta-analyses (PRISMA) flow diagrams selecting relevant literature. also used investigate scenarios, methods, objectives, outcomes previous studies. results showed need studies application other fields firefighting, chemical industry, maritime, etc. Furthermore, several scenarios construction design, disaster response, rescue procedures, others included. provides information gaps study, including exploration broader range industries scenarios.

Language: Английский

Citations

8
Extended Reality (XR) Training in the Construction Industry: A Content Review DOI Creative Commons
Shixian Li, Qian-Cheng Wang, Hsi-Hsien Wei

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(2), P. 414 - 414

Published: Feb. 3, 2024

As modern information technology advances and equipment devices update, extended reality (XR) technologies, including virtual (VR), augmented (AR), virtuality (AV) have witnessed an increasing use application in construction training. This review aims to comprehensively examine the evolution of XR training domain. To achieve this, a systematic literature 74 journal papers from Scopus database was conducted. paper outlines progression 2009 2023, detailing related technologies like development platforms, display devices, input devices. The reveals that spans five main areas: (1) safety management, (2) skill/knowledge acquisition, (3) operation, (4) human–computer collaboration, (5) ergonomics/postural Additionally, this explores impact trainee roles on outcomes identifies challenges faced by applications. findings are hoped assist researchers engineering trainers understanding latest advancements XR, thereby providing valuable insights for future research.

Language: Английский

Citations

6
Safe human-robot collaboration: a systematic review of risk assessment methods with AI integration and standardization considerations DOI
Morteza Jalali Alenjareghi, Samira Keivanpour, Yuvin Chinniah

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2024, Volume and Issue: 133(9-10), P. 4077 - 4110

Published: June 22, 2024

Language: Английский

Citations

6
Development of Safety Training in Construction: Literature Review, Scientometric Analysis, and Meta-Analysis DOI
Jing Lin,

Yuhang Cai,

Qinyuan Li

et al.

Journal of Management in Engineering, Journal Year: 2023, Volume and Issue: 39(6)

Published: Aug. 23, 2023

The construction industry has a high accident rate, making safety training for workers increasingly important in addressing this issue. Previous research on made significant progress, but existing literature reviews lack comprehensive summary of the development training, an evaluation effectiveness current methods, and analysis potential improvements future. Therefore, study addresses these challenges through systematic review, scientometric analysis, meta-analysis. A total 92 publications since 2001 were included after searching selection based preferred reporting items commonly used psychological medical meta-analyses. This identified three phases research: determination necessity significance exploration different methods tools using advanced technologies. Findings from revealed that prevention hazard recognition are key topics field. Critical findings summarized discussed to have understanding progress. results meta-analysis indicated generally effective improving safety, though field studies is lower than laboratory studies. Thus, researchers should understand why performance between laboratories sites then control differences enhance personalized foreseeable trend suggested more efforts improvement long-term effectiveness. Additionally, be revised optimized needs intelligent prefabricated construction. These offer new insights into policymakers.

Language: Английский

Citations

16
Willingness to accept metaverse safety training for construction workers based on extended UTAUT DOI Creative Commons
Zhenxu Guo, Qinge Wang, Chunyan Peng

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 11

Published: Jan. 5, 2024

Safety training (ST) is essential in avoiding unsafe behavior of construction workers. With the rise metaverse technology, safety (MST) has gradually become a new model to guide workers production. An in-depth study workers’ willingness accept (WAMST) helps improve its effectiveness, but studies need pay more attention it. This constructs conceptual WAMST for workers, and influencing factors are explained based on extended Unified Theory Acceptance Use Technology (UTAUT). It established Structural equation modeling verify relationship between factors. example verifies feasibility model. The results show that framework significantly contributes participate improves awareness. Specifically, performance expectancy, effort social influence, convenient conditions affect accept. Convenient have direct effect actual behavior. Willingness plays mediating role expectancy Perceived trust moderates behavior, force positive interpretation increases proportionally. confirms how capacity provides references governments, enterprises, projects formulate ST strategies.

Language: Английский

Citations

5
Measuring Habituation to Auditory Warnings Using Behavioral and Physiological Data DOI
Jeonghyeun Chae, Sungjoo Hwang, Youngcheol Kang

et al.

Journal of Construction Engineering and Management, Journal Year: 2024, Volume and Issue: 150(7)

Published: April 27, 2024

Language: Английский

Citations

5
Robotics in the Construction Sector: Trends, Advances, and Challenges DOI Creative Commons
Yuming Liu, Aidi Hizami Alias, Nuzul Azam Haron

et al.

Journal of Intelligent & Robotic Systems, Journal Year: 2024, Volume and Issue: 110(2)

Published: May 10, 2024

Abstract Construction robots employ cutting-edge technology to perform tasks more accurately than traditional construction workers, producing higher-quality results and fewer mistakes. Moreover, although robotics is a demanding topic in sector research, review studies that track anticipate adoption trends are required the sector. This study aims bridge this gap by identifying challenges limitations of opportunities offered To achieve aim, adopts systematic literature approach using preferred reporting items for reviews meta-analyses (PRISMA) protocol. Additionally, focuses on framework categorizing technological advances potential development over past decade. The reveal that: (a) current robotic covered four critical perspectives including perception, mobility, manipulation, collaboration; (b) promoting requires attention safety ethical issues because risks associated.

Language: Английский

Citations

5
Predicting human trust in human-robot collaborations using machine learning and psychophysiological responses DOI
Hardik Chauhan, Youjin Jang, Inbae Jeong

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102720 - 102720

Published: July 19, 2024

Language: Английский

Citations

5
Evaluation of Data Processing and Artifact Removal Approaches Used for Physiological Signals Captured Using Wearable Sensing Devices during Construction Tasks DOI
Shahnawaz Anwer, Heng Li, Maxwell Fordjour Antwi‐Afari

et al.

Journal of Construction Engineering and Management, Journal Year: 2023, Volume and Issue: 150(1)

Published: Oct. 25, 2023

Wearable sensing devices (WSDs) have enormous promise for monitoring construction worker safety. They can track workers and send safety-related information in real time, allowing more effective preventative decision making. WSDs are particularly useful on sites since they workers' health, safety, activity levels, among other metrics that could help optimize their daily tasks. may also assist recognizing health-related safety risks (such as physical fatigue) taking appropriate action to mitigate them. The data produced by these WSDs, however, is highly noisy contaminated with artifacts been introduced the surroundings, experimental apparatus, or subject's physiological state. These very strong frequently found during field experiments. So, when there a lot of artifacts, signal quality drops. Recently, removal has greatly enhanced developments processing, which vastly performance. Thus, proposed review aimed provide an in-depth analysis approaches currently used analyze remove from signals obtained via construction-related First, this study provides overview likely be recorded monitor health Second, identifies most prevalent detrimental effect utility signals. Third, comprehensive existing artifact-removal were presented. Fourth, each identified artifact detection approach was analyzed its strengths weaknesses. Finally, conclusion, few suggestions future research improving captured using approaches.

Language: Английский

Citations

11